Speed response of brushless DC motor using fuzzy PID controller under varying load condition

ABSTRACT

The increasing trend towards usage of precisely controlled, high torque, efficient and low noise motors for dedicated applications has attracted the at tention of researcher in Brushless DC (BLDC) motors. BLDC motors can act as an acceptable alternative to the conventional motors like Induction Motors, Switched Reluctance Motors etc. This paper presents a detailed study on the performance of a BLDC motor supplying different types of loads, and at the same time, deploying different control techniques. An advance Fuzzy PID controller is compared with the commonly used PID controller. The load variations considered are of the most common types, generally encountered in practice. A comparison has been carried out in this paper by observing the dynamic speed response of motor at the time of application as well as at the time of removal of the load. The BLDC motors suffer from a major drawback of having jerky behavior at the time of load removal. The study reveals that irrespective of the type of controller used, the gradual load variation produces better results as against sudden load variations. It is further observed that in addition to other dynamic features, the jerks produced at the time of load removal also get improved to a large extent with Fuzzy PID controller. The speed torque characteristics un raveled the fact that the jerks are minimum at the time of gradual load removal with Fuzzy PID controller in place. An attempt has been made to define these jerks by ‘Perturbation Window’.

KEYWORDS:

  1. BLDC motor
  2. Proportional-integral-derivative (PID) controller
  3. Fuzzy (FL) controller
  4. MATLAB/SIMULINK

 SOFTWARE: MATLAB/SIMULINK

 BLOCK DIAGRAM:


 Fig.1.Block diagram of BLDC motor drive.

  EXPERIMENTAL RESULTS:

Fig.2.(a) Speed response curve (b) current response curve (c) torque response curve with PID controller under gradual application and removal of load.

Fig.3.(a) Speed response curve (b) current response curve (c) torque response curve with Fuzzy PID controller under sudden application and removal of load.

Fig.4.(a) Speed response curve (b) current response curve (c) torque response curve with Fuzzy PID controller. under sudden application and removal of load

Fig.5.(a) Speed response curve (b) current response curve (c) torque response curve with Fuzzy PID controller under sudden application and removal of load.

Fig.6.(a) Speed response curve (b) current response curve (c) torque response curve with Fuzzy PID controller under gradual application and removal of load.

CONCLUSION

A model is developed in this paper for BLDC Drive using MATLAB/SIMULINK to analyze its performance with PID controller and with Fuzzy PID Controller when the motor is subjected to the most commonly encountered sudden load variations as well as gradual load variations under constant speed operation. The BLDC drive gives better performance if the load is changed gradually. Further, it is found that the transient response of the drive in terms of overshoot, under shoot, peak time and settling time are improved with the use of FPID. Speed torque characteristics of The drive are also used for all the conditions to assess the overall behavior of the machine. The commonly experienced major drawback of the jerks of BLDC motors at the time of load removal has been found to get reduced by 50% incase of sudden load removal and by about 80% incase of gradual load removal by applying FPID controller as against the use of classical PID controller.

REFERENCES

Arulmozhiyal, R., Kandiban, R., 2012. Design of Fuzzy PID controller for Brushless DC motor. In: International conference on Computer Communication and Informatics (ICCCI—2012), Jan.10–12, Coimbatore, INDIA.

Baldursson,S.,2005. BLDC Motor Modelling and Control—A MATLAB/Simulink Implementation, Master Thesis.

Dorf,C.,Richard,C.,Robert Bishop,H.,2001.Modern control systems,9thed.Prentice Hall Inc.,New Jersey-07458,USA,Chapters 1,5,pp.1–23,pp.173–206.

Farouk,Naeim,Bingqi,Tian,2012.Application of self-tuning Fuzzy PID controller on the AVR system. In: IEEE Conference of Mechatronics and Automation,August5–8,Chengdu,China.

Gupta,D.,2016.Speed control of Brushless DC motor using Fuzzy PID controller.11–12 March KNIT, IndiaIn: IEEE conference on Emerging trends in Electrical, Electronics & Sustainable Energy System,Volume2,pp.221–224.

Engineering electrical projects in telangana

engineering electrical projects

  engineering electrical projects Electrical engineering is a professional engineering discipline that generally deals with the study and application of electricityelectronics, and electromagnetism. This field first became an identifiable occupation in the later half of the 19th century after commercialization of the electric telegraph, the telephone, and electric power distribution and use. Subsequently, broadcasting and recording media made electronics part of daily life. The invention of the transistor, and later the integrated circuit, brought down the cost of electronics to the point they can be used in almost any household object.

engineering electrical projects

A Unity Power Factor Bridgeless Isolated Cuk Converter Fed Brushless-DC Motor Drive

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2013

ABSTRACT: This work presents a power factor correction (PFC) based bridgeless isolated Cuk converter fed brushless DC (BLDC) motor drive. A variable DC link voltage of the voltage source inverter (VSI) feeding BLDC motor is used for its speed control. This allows the operation of VSI in fundamental frequency switching (FFS) to achieve an electronic commutation of BLDC motor for reduced switching losses. A bridgeless configuration of an isolated Cuk converter is derived for elimination of front end diode bridge rectifier (DBR) to reduce conduction losses in it. The proposed PFC based bridgeless isolated Cuk converter is designed to operate in discontinuous inductor current mode (DICM) to achieve an inherent PFC at AC mains. The proposed drive is controlled using a single voltage sensor to develop a cost effective solution. The proposed drive is implemented to achieve a unity power factor at AC mains for a wide range of speed control and supply voltages. An improved power quality is achieved at AC mains with power quality indices within limits of IEC 61000-3-2 standard.

KEYWORDS:

  1. BLDC Motor
  2. Bridgeless Isolated Cuk Converter
  3. Discontinuous Inductor Current Mode
  4. Power Factor Correction
  5. Power Quality
  6. Voltage Source Inverter

 SOFTWARE: MATLAB/SIMULINK

CIRCUIT DIAGRAM:

Fig. 1. Proposed configuration of a bridgeless isolated Cuk converter feeding BLDC motor drive.

EXPECTED SIMULATION RESULTS:
DC link voltage

Fig. 2. Test results of the proposed drive during its operation at rated loading condition with DC link voltage as (a) 130 V and (b) 50 V.

Fig. 3. Test results of the proposed drive during its operation at rated condition showing (a) input inductor currents (b) output inductors current and (c) HFT currents.

Fig. 4. Test results of the proposed drive during its operation at rated condition showing intermediate capacitors voltages (a) VC11 and VC12 and (b) VC21 and VC22.

 

Fig. 5. (a) Test results of the proposed drive during its operation at rated condition showing (a) voltage and current stress on PFC converter switches and (b) its enlarged waveforms.

Fig. 6. Test results of the proposed drive during (a) starting at DC link voltage of 50V, (b) speed control corresponding to change in DC link voltage fro 50V to 100V and (c) supply voltage fluctuation from 250V to 200V.

 

CONCLUSION:

A new configuration of bridgeless isolated-Cuk converter fed BLDC motor drive has been proposed for low power household appliances. The speed control of BLDC motor has been achieved by controlling the DC link voltage of VSI feeding BLDC motor. This has facilitated the operation of VSI in low frequency switching mode for reducing the switching losses associated with it. This bridgeless isolated-Cuk converter has been designed for the elimination of diode bridge rectifier at the front-end for reducing the conduction losses in the front-end converter. This PFC converter has been operated in DICM for DC link voltage control and inherent power factor correction is achieved at the AC mains. A prototype of proposed drive has been implemented using a DSP. Satisfactory test results for proposed bridgeless isolated- Cuk-converter fed BLDC motor has been evaluated for its operation over complete speed range. Moreover, the performance of proposed drive is also evaluated for operation at wide range of supply voltages. The obtained power quality indices have been found within the limits of power quality standards such as IEC 61000-3-2.

REFERENCES:

[1] C. L. Xia, Permanent Magnet Brushless DC Motor Drives and Controls Wiley Press, Beijing, 2012.

[2] Y. Chen, C. Chiu, Y. Jhang, Z. Tang and R. Liang, “A Driver for the Single-Phase Brushless DC Fan Motor with Hybrid Winding Structure,” IEEE Trans. Ind. Electron., vol. 60, no. 10, pp. 4369

[3] X. Huang, A. Goodman, C. Gerada, Y. Fang and Q. L Matrix Converter Drive for a Brushless DC Motor in Aerospace Applications,” IEEE Trans. Ind. Elect., Sept. 2012.

[4] J. Moreno, M. E. Ortuzar and J. W. Dixon, “Energy for a hybrid electric vehicle, using ultra capacitors and neural networks,” IEEE Trans. Ind. Electron., vol.53, no.2, pp. 614

[5] P. Pillay and R. Krishnan, “Modeling of permanent magnet motor drives,” IEEE Trans. Ind. Elect.vol.35, no.4, pp. 537-541, Nov 1988.

Isolated Cuk Converter projects list

A BL-CSC Converter Fed BLDC Motor Drive with Power Factor Correction

IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2013

ABSTRACT: This paper presents a power factor correction (PFC) based bridgeless-canonical switching cell (BL-CSC) converter fed brushless DC (BLDC) motor drive. The proposed BL-CSC converter operating in a discontinuous inductor current mode is used to achieve a unity power factor at the AC mains using a single voltage sensor. The speed of BLDC motor is controlled by varying the DC bus voltage of the voltage source inverter (VSI) feeding BLDC motor via a PFC converter. Therefore, the BLDC motor is electronically commutated such that the VSI operates in fundamental frequency switching for reduced switching losses. Moreover, the bridgeless configuration of CSC converter offers low conduction losses due to partial elimination of diode bridge rectifier at the front end. The proposed configuration shows a considerable increase in efficiency as compared to the conventional scheme. The performance of the proposed drive is validated through experimental results obtained on a developed prototype. Improved power quality is achieved at the AC mains for a wide range of control speeds and supply voltages. The obtained power quality indices are within the acceptable limits of IEC 61000-3-2

KEYWORDS:

  1. BLDC Motor
  2. BL-CSC Converter
  3. DICM
  4. PFC
  5. Power Quality

SOFTWARE: MATLAB/SIMULINK

CIRCUIT DIAGRAM:

 

Fig. 1. Proposed BL-CSC converter fed BLDC motor drive

EXPECTED SIMULATION RESULTS:

 Fig. 2. Performance of the proposed drive at rated condition with supply voltage as 220V and DC link voltage as (a) 310V and (b) 70V.

Fig. 3. Waveforms of (a) inductor’s currents and (b) intermediate capacitor voltage with supply voltage at rated load on BLDC motor with DC link voltage as 310V and supply voltage as 220V.

Fig. 4. Stress on PFC converter switches and its enlarged waveforms during its operation at rated conditions.

Fig. 5. Recorded dynamic performance of the proposed drive at rated load on BLDC motor during (a) starting at Vdc=50V, (b) speed control during change in DC link voltage from 100V to 170V and (c) sudden change in supply voltage from 250V to 180V.

CONCLUSION:

A PFC based BL-CSC converter fed BLDC motor drive has been proposed with improved power quality at the AC mains. A bridgeless configuration of a CSC converter has been used for achieving reduced conduction losses in PFC converter. The speed control of BLDC motor and power factor correction at AC mains has been achieved using a single voltage sensor. The switching losses in the VSI have been reduced by the use of fundamental frequency switching by electronically commutating the BLDC motor. Moreover, the speed of BLDC motor has been controlled by controlling the DC link voltage of the VSI. The proposed drive has shown an improved power quality at the AC mains for a wide range of speed control and supply voltages. The obtained power quality indices have been found within the acceptable limits of IEC 61000-3-2. A satisfactory performance of the proposed drive has been obtained and it is a recommended solution for low power applications.

REFERENCES:

[1] B. Singh and S. Singh, “Single-phase power factor controller topologies for permanent magnet brushless DC motor drives,” IET Power Elect., vol.3, no.2, pp.147-175, March 2010.

[2] Chang Liang Xia, Permanent Magnet Brushless DC Motor Drives and Controls, Wiley Press, Beijing, 2012.

[3] P. Pillay and R. Krishnan, “Modeling of permanent magnet motor drives,” IEEE Trans. Ind. Elect., vol.35, no.4, pp.537-541, Nov 1988.

[4] M. A. Rahman and P. Zhou, “Analysis of brushless permanent magnet synchronous motors,” IEEE Trans. Ind. Elect., vol.43, no.2, pp.256-267, Apr 1996.

[5] J. Moreno, M. E. Ortuzar and J.W. Dixon, “Energy-management system for a hybrid electric vehicle, using ultra capacitors and neural networks,” IEEE Trans. Ind. Elect., vol.53, no.2, pp. 614- 623, April 2006.

Novel Back EMF Zero Difference Point Detection Based Sensorless Technique for BLDC Motor

2017, IEEE

ABSTRACT: In this paper a novel position sensorless scheme named Back EMF Zero Difference Point (ZDP) detection has been proposed for six-switch VSI converter fed permanent magnet BLDC motor. This technique is based on the comparison of back EMFs and detection of the points in the back EMF waveforms where they cross each other or in other words they are equal. Commutation point is achieved exactly at the same instant when the difference of back EMFs of any two phases becomes zero. The simulation study has been carried out for the proposed sensorless scheme. The proposed sensorless scheme has the excellent performance from zero to the extra high speed. The method needs no additional delay circuit as used for calculation of commutation point from back EMF ZCP and involves less calculation burden. The method is fault tolerant and accurate even in the case of noise in measurement (or estimation) of phase back EMFs. A nonzero threshold value proportional to input voltage (or reference speed) is used for overcoming the problem due to quantization and sampling for digital implementation. This method proves to be excellent substitute of hall sensing scheme as it also senses at zero speed.

KEYWORDS:

  1. BLDC motor
  2. Back EMF ZDP
  3. Commutation
  4. Sensorless control
  5. Zero difference point.

 SOFTWARE: MATLAB/SIMULINK

BLOCK DIAGRAM:

Fig.1 VSI fed BLDC motor with indirect Back EMF detection scheme

EXPECTED SIMULATION RESULTS:

Fig.2. Phase Back EMF ZDPs, switching signals, counter output and triggering sequence signals.

Fig.3. Steady state operation at the low speed of 600 rpm.

Fig.4. performance of proposed sensorless scheme at 17000 rpm

Fig.5. Noise immune performance during steady state operation for reference speed of 17000rpm.

Fig.6. sensing fault occurs at 0.5 second in the measurement of phase-B back EMF.

Fig.7. speed increases when sensing fault occurs (here phase-B sensing fault

CONCLUSION:

In the proposed Back EMF Zero Difference Point (ZDP) detection method, the very first commutation signal is achieved at starting itself i.e. one step before the ZCP method, which proves the superiority of the method. The back EMF for the proposed scheme can be applied to various existing back EMF detection or estimation techniques. This technique is insensitive to the inherent noise in measurement (or estimation) of back EMF. This method does not need extra

Circuitry as needed for delay after ZCP for getting commutation point, thereby less computational complexity is involved. The speed (or input voltage) proportional threshold used for avoiding uncertainty in the zero difference of back EMF, sets its scope of wide usability in precise operation from zero to extra high speed. Operation at initial zero back EMF is the main strength of this method and it doesn’t necessitate separate starting techniques. Speed response at transient period is 0.15 ms faster than previous methods for identical motor parameters.

REFERENCES:

[1] M.V.Kesava Rao, Department of Electrical technology, IISc Bangalore, ‘‘Brush Contact Drops in DC machines’’, Accepted 25-6-1934, Bangalore Press.

[2] Y.S. Jeon, H.S. Mok, G.H. Choe, D.K. Kim, J.S. Ryu, “A New Simulation Model of BLDC Motor with Real Back EMF waveform”, 7 th workshop on Computers in power Electronics , 2000 (COMPEL 2000), page 217- 220.

[3] Padmaja yedmale, “Brushless DC (BLDC) Motor Fundamentals”, AN885, 2003 Microchip Technology.

[4] S. Tara , Syfullah Khan Md “Simulation of sensorless operation of BLDC motor based on the zero cross detection from the line voltage” International Journal of Advanced Research in Electrical Electronics and Instrumentation Engineering, vol 2, issue 12 , December 2013, ISSN 2320-3765.

[5] J. R. Frus and B. C. Kuo, “Closed-loop control of step motors using waveform detection,” in Proc. Int. Conf. Stepping Motors and Systems, Leeds, U.K., 1976, pp. 77–84.

 

A Novel Fuzzy Dynamic Observer for High Speed BLDC Motor

ABSTRACT:

In this paper, a high performance brushless DC (BLDC) motor drive based on a fuzzy dynamic observer (FDO) is investigated. The FDO acts on the motor current and its gains are corrected by estimating current, rotor position and speed by fuzzy logic control (FLC). FLC is correcting gain’s FDO via real time. A PI speed control was chosen due to its low processing time and fast control. In order to reduce the model complexity, the back-EMF is assumed as being trapezoidal in a simplified machine model. The presented drive has been simulated by the MATLAB/SIMULINK software on the high speed BLDC motor model. Simulation results show that the proposed drive is able to estimate the rotor position and speed with high precision when high speeds are considered. Simulation results also show the reliability, fast computation and excellent dynamic performance with using fuzzy logic for high speed BLDC motor.

KEYWORDS: 

  1. BLDC motor
  2. Fuzzy dynamic observer
  3. Fuzzy logic

SOFTWARE: MATLAB/SIMULINK

BLOCK DIAGRAM:

Fig. 1. Block diagram of speed control of a three-phase BLDC motor.

EXPECTED SIMULATION RESULTS:

Fig. 2. Speed of rotor (N=30,000 rpm).

 Fig. 3. Back EMF three-phases (N=30,000 rpm).

Fig. 4. Total torque (N=30,000 rpm).

Fig. 5. Speed and estimated speed with FDO (N=30,000 rpm).

Fig. 6. Rotor position and estimated position with FDO (N=30,000 rpm).

Fig. 7. Speed estimated error with FDO (N=5,000 rpm, N=10,000 rpm and N=30,000 rpm).

CONCLUSION:

In this study, a fuzzy dynamic observer (FDO) scheme for a high speed BLDC motor drive is investigated. FDO micro gains are regulation by using fuzzy logic control (FLC) via real time. This approach has been simulated on a high speed BLDC motor nonlinear model. The FDO acts on the phase currents and also the micro gains will be quickly regulated real time according to error values by FLC. Also, the use of PI speed control accelerates the calculations of the rotor position estimation and speed. In this study, simulation results show that FDO are suitable for high speed BLDC motors and torque ripple is one of the indirect factors affecting the errors estimation. Nevertheless, these results show that the FDO is suitable for high speeds. In addition, as torque ripple is one of the main estimation error this parameter can be decrease by the torque ripple optimization.

 REFERENCES:

[1] Lei Hao, H. A. Toliat, “BLDC Motor Full-Speed Operating Using hybrid Sliding Mode Observer “Applied Power Electronics Conference and Exposition, APEC ’03. Eighteenth Annual IEEE, vol. 1, pp. 286 – 293, February 2003.

[2] S. M. M. Mirtalaei, J. S. Moghani, K. Malekian, B. Abdi, “A Novel Sensorless Control Strategy for BLDC Motor Drives Using a Fuzzy Logic-based Neural Network Observer “International Symposium on Power Electronics, Electrical Drives, Automation and Motion, SPEEDAM 2008. IEEE, vol. 1, pp. 1491 – 1496, July 2008.

[3] Li Qiang, W. Ruixia, “Study on Rotor Position Detection Error in Sensorless BLDC Motor Drives “5th International Conference Power Electronics and Motion Control, IPEMC 2006. IEEE, vol. 3, pp. 1-5, August 2006.

[4] J. Lee, S. Sathiakumar, Y. Shrivastava, “A novel speed and position estimation of the brushless DC motor at low speed “Power Engineering Conference, AUPEC 2008. IEEE, vol. 3, pp. 1-6, December 2008.

[5] M. Divandari. R. Brazamini, A. Dadpour, M. Jazaeri, “A Novel Dynamic Observer and Torque Ripple Minimization via Fuzzy Logic for SRM Drives “International Symposium on Industrial Electronics, ISIE 2009. IEEE, vol. 1, pp. 847 – 852, July 2009.

Single Stage Solar PV Fed Brushless DC Motor Driven Water Pump

 

ABSTRACT:

In order to optimize the solar photovoltaic (PV) generated power using a maximum power point tracking (MPPT) technique, a DC-DC conversion stage is usually required in solar PV fed water pumping which is driven by a brushless DC (BLDC) motor. This power conversion stage leads to an increased cost, size, complexity and reduced efficiency. As a unique solution, this work addresses a single stage solar PV energy conversion system feeding a BLDC motor-pump, which eliminates the DC-DC conversion stage. A simple control technique capable of operating the solar PV array at its peak power using a common voltage source inverter (VSI), is proposed for BLDC motor control. The proposed control eliminates the BLDC motor phase current sensors. No supplementary control is associated for the speed control of motor-pump and its soft start. The speed is controlled through the optimum power of solar PV array. The suitability of proposed system is manifested through its performance evaluation using MATLAB/Simulink based simulated results and experimental validation on a developed prototype, under the practical operating conditions.

KEYWORDS:

  1. MPPT
  2. Solar PV array
  3. BLDC motor
  4. Water pump
  5. VSI
  6. Soft starting
  7. Speed control

SOFTWARE: MATLAB/SIMULINK

BLOCK DIAGRAM:

 

Fig.1 Proposed water pumping based on a single stage solar PV energy conversion system.

EXPECTED SIMULATION RESULTS:

 Fig.2 Steady state and starting performance of (a) PV array and (b) motor pump, of proposed system at 1 kW/m2.

Fig.3 Steady state and starting response of (a) PV array and (b) motor-pump, of proposed system at 200 W/m2.

Fig.4 Dynamic performance of (a) PV array and (b) BLDC motor Pump ,of Proposed  water pumping system.

Fig. 5 Responses of (a) PV array and (b) BLDC motor, under partial shading

CONCLUSION:

The proposed BLDC motor driven water pumping based on a single stage solar PV generation has been validated through a demonstration of its various steady state, starting and dynamic performances. The system has been simulated using the MATLAB toolboxes, and implemented on an experimental prototype. The topology of the proposed system has provided a DC-DC converter-less solution for PV fed brushless DC motor driven water pumping. Moreover, the motor phase current sensing elements have been eliminated, resulting in a simple and cost-effective drive. The other desired functions are the speed control without any additional circuit and a soft start of the motor-pump. A detailed comparative analysis of the proposed and the existing topologies has ultimately manifested the superiority of the proposed work.

REFERENCES:

[1] C. Jain and B. Singh, “An Adjustable DC Link Voltage Based Control of Multifunctional Grid Interfaced Solar PV System,” IEEE J. Emerg. Sel. Topics Power Electron., Early Access.

[2] A. A. A. Radwan and Y. A. R. I. Mohamed, “Power Synchronization Control for Grid-Connected Current-Source Inverter-Based Photovoltaic Systems,” IEEE Trans. Energy Convers., vol. 31, no. 3, pp. 1023-1036, Sept. 2016.

[3] P. Vithayasrichareon, G. Mills and I. F. MacGill, “Impact of Electric Vehicles and Solar PV on Future Generation Portfolio Investment,” IEEE Trans. Sustain. Energy, vol. 6, no. 3, pp. 899-908, July 2015.

[4] A. K. Mishra and B. Singh, “A single stage solar PV array based water pumping system using SRM drive,” IEEE Ind. Appl. Soc. Annu. Meeting, Portland, OR, 2016, pp. 1-8.

[5] S. Jain, A.K. Thopukara, R. Karampuri and V.T. Somasekhar, “A Single-Stage Photovoltaic System for a Dual-Inverter-Fed Open-End Winding Induction Motor Drive for Pumping Applications,” IEEE Trans. Power Electron., vol. 30, no. 9, pp. 4809 – 4818, Sept. 2015.

BLDC Motor Driven Solar PV Array Fed Water Pumping System Employing Zeta Converter

ABSTRACT:

This paper proposes a simple, cost effective and efficient brushless DC (BLDC) motor drive for solar photovoltaic (SPV) array fed water pumping system. A zeta converter is utilized in order to extract the maximum available power from the SPV array. The proposed control algorithm eliminates phase current sensors and adapts a fundamental frequency switching of the voltage source inverter (VSI), thus avoiding the power losses due to high frequency switching. No additional control or circuitry is used for speed control of the BLDC motor. The speed is controlled through a variable DC link voltage of VSI. An appropriate control of zeta converter through the incremental conductance maximum power point tracking (INC-MPPT) algorithm offers soft starting of the BLDC motor. The proposed water pumping system is designed and modeled such that the performance is not affected under dynamic conditions. The suitability of proposed system at practical operating conditions is demonstrated through simulation results using MATLAB/ Simulink followed by an experimental validation.

KEYWORDS:

  1. BLDC motor
  2. SPV array
  3. Water pump
  4. Zeta converter
  5. VSI
  6. INC-MPPT

SOFTWARE: MATLAB/SIMULINK

BLOCK DIAGRAM:

 

Fig.1 Configuration of proposed SPV array-Zeta converter fed BLDC motor drive for water pumping system.

EXPECTED SIMULATION RESULTS:

 

Fig.2 Performances of the proposed SPV array based Zeta converter fed BLDC motor drive for water pumping system (a) SPV array variables, (b) Zeta converter variables, and (c) BLDC motor-pump variables.

CONCLUSION:

The SPV array-zeta converter fed VSI-BLDC motor-pump for water pumping has been proposed and its suitability has been demonstrated by simulated results using MATLAB/Simulink and its sim-power-system toolbox. First, the proposed system has been designed logically to fulfil the various desired objectives and then modelled and simulated to examine the various performances under starting, dynamic and steady state conditions. The performance evaluation has justified the combination of zeta converter and BLDC motor drive for SPV array based water pumping. The system under study availed the various desired functions such as MPP extraction of the SPV array, soft starting of the BLDC motor, fundamental frequency switching of the VSI resulting in a reduced switching losses, reduced stress on IGBT switch and the components of zeta converter by operating it in continuous conduction mode and stable operation. Moreover, the proposed system has operated successfully even under the minimum solar irradiance.

REFERENCES:

[1] M. Uno and A. Kukita, “Single-Switch Voltage Equalizer Using Multi- Stacked Buck-Boost Converters for Partially-Shaded Photovoltaic Modules,” IEEE Transactions on Power Electronics, no. 99, 2014.

[2] R. Arulmurugan and N. Suthanthiravanitha, “Model and Design of A Fuzzy-Based Hopfield NN Tracking Controller for Standalone PV Applications,” Electr. Power Syst. Res. (2014). Available: http://dx.doi.org/10.1016/j.epsr.2014.05.007

[3] S. Satapathy, K.M. Dash and B.C. Babu, “Variable Step Size MPPT Algorithm for Photo Voltaic Array Using Zeta Converter – A Comparative Analysis,” Students Conference on Engineering and Systems (SCES), pp.1-6, 12-14 April 2013.

[4] A. Trejos, C.A. Ramos-Paja and S. Serna, “Compensation of DC-Link Voltage Oscillations in Grid-Connected PV Systems Based on High Order DC/DC Converters,” IEEE International Symposium on Alternative Energies and Energy Quality (SIFAE), pp.1-6, 25-26 Oct. 2012.

[5] G. K. Dubey, Fundamentals of Electrical Drives, 2nd ed. New Delhi, India: Narosa Publishing House Pvt. Ltd., 2009.

A Comparative Study of Speed Control of D.C. Brushless Motor Using PI and Fuzzy Controller

 

ABSTRACT:

This paper presents an intelligent control architecture for a sensor based brushless DC motor. A BLDC motor is superior to a brushed DC motor, as it replaces the mechanical commutation unit with an electronic one; hence improving the dynamic characteristics, efficiency and reducing the noise level marginally. Conventionally a PI-controller is used for speed control purpose in many industrial BLDC motor drives. But the accuracy level obtained by the PI-controlled drive is insufficient for advanced sophisticated applications. So as a better choice, a fuzzy logic control technique is applied to this motor to achieve a greater accuracy in controlling the speed.

KEYWORDS:

  1. Intelligent control
  2. BLDC motor
  3. Dynamic characteristics
  4. Accuracy
  5. Fuzzy logic

SOFTWARE: MATLAB/SIMULINK

BLOCK DIAGRAMS:

Fig. 1. Block diagram for speed control of BLDCM using PI controller.

Fig. 2. Block diagram of a fuzzy logic controlled BLDC motor drive.

 EXPECTED SIMULATION RESULTS:

                  Fig. 3. Speed response of PI controlled BLDC motor drive(Nref=1500 r.p.m)

Fig. 4. Speed response of fuzzy logic controlled BLDC motor drive (Nref=1500 r.p.m)

Fig. 5. Speed response of PI controlled BLDC motor drive(transition from 1500 r.p.m to 1400 r.p.m)

                         Fig. 6. Speed response of fuzzy logic controlled BLDC motor drive (transition from 1500 r.p.m to 1400 r.p.m)

CONCLUSION:

In this paper we discussed the BLDC motor speed control using a fuzzy logic controller. A detailed analysis was done on fuzzification, fuzzy rules and defuzzification methods and lookup table was obtained by using fuzzy algorithm. The PI control scheme and fuzzy based PI scheme were simulated using MATLAB and compared. The dynamic response of speed in using FLC was better than only PI scheme. These results show that a PI based FLC technique is a better choice for BLDC motor drive and favors to widen its area of application in near future.

REFERENCES:

[1] Paul C. Krause, “Analysis of electric machinary”, McGraw-Hill, 1984.

[2] P.S. Bimbhra, “ Generalized Theory of Electrical Machines”, Khanna Publishers.

[3] P. Yedamale, Brushless DC (BLDC) Motor Fundamentals. Application Note 885, Microchip Technology Inc., Chandler, AZ,2003.

[4] Dutta, P.; Mahato, S.N., “Design of mathematical model and performance analysis of BLBLDC motor,” Control, Instrumentation, Energy and Communication (CIEC), 2014 International Conference on , vol., no., pp.457,461, Jan. 31 2014-Feb. 2 2014

[5] Ko, J.S.; Jae Gyu Hwang; Myung-Joong Youn, “Robust position control of BLDD motors using integral-proportional plus fuzzy logic controller,” Industrial Electronics, Control, and Instrumentation, 1993. Proceedings of the IECON ’93., International Conference on , vol., no., pp.213,218 vol.1, 15-19 Nov 1993

A Comparative Study of PI, Fuzzy and Hybrid PI Fuzzy Controller for Speed Control of Brushless DC Motor Drive

ABSTRACT: 

This paper presents the comparative study between PI, fuzzy and hybrid PI-Fuzzy controller for speed control of brushless dc (BLDC) motor. The control structure of the proposed drive system is described. The simulation results of the drive system for different operation modes are evaluated and compared. A fuzzy controller offers better speed response for start-up while PI controller has good compliance over variation of load torque but has slow settling response. Hybrid controller has an advantage of integrating a superiority of these two controllers for better control performances. Matlab/Simulink is used to carry out the simulation.

KEYWORDS:
1. PI
2. Fuzzy
3. Hybrid Controller
4. BLDC Motor
5. Speed Control

SOFTWARE: MATLAB/SIMULINK

SIMULINK DIAGRAM:

Figure 1: Simulation model BLDC motor drive

EXPECTED SIMULATION RESULTS:

Figure 2: PI controller

Figure 3: Fuzzy controller

Figure 4: Hybrid controller

Figure 5: Comparison of speed response

Figure 6: PI controller

Figure 7: Fuzzy controller

Figure 8: Hybrid controller

Figure 9: Comparison of speed response

CONCLUSION:
From simulation results, it was shown that PI controller maintained the steady state accuracy while the fuzzy controller performed well in the case of sufficiently large reference input changes with shorter settling time. The hybrid controller has integrated both fuzzy controller and PI controller. During the large speed error, the fuzzy controller will be selected by switch. When the speed error is less than 0.28 rpm, the PI controller will be selected to maintain the high steady-state accuracy. The simulation results showed that the hybrid controller has incorporated advantage of both fuzzy and PI controller. As a conclusion, the hybrid controller has improved the dynamic performance of BLDC motor.
REFERENCES:
[1] F. Farkas, A. Zakharov and S.Z. Varga, “Speed and position controller for dc drives using fuzzy logic”, Studies in Applied Electromagnetics and Mechanics (Vol. 16): Applied Electromagnetics and Computational Technology II, Amsterdam: IOS Press, 2000.
[2] Zulkifilie Ibrahim and Emil Levi, “A comparative analysis of fuzzy logic and pi speed control in high-performance ac drives using experimental approach”, IEEE Trans. on Industry Applications 38(5): pg 1210-1218, 2002.
[3] L.S. Xuefang, F. Morel, A.M. Llor, B. Allard, J.-M. Retif, “Implementation of hybrid control for motor drives”, IEEE Trans. Industrial Electronics, vol.38, No. 5, pp. 1210-1218, Sep. 2002.
[4] Krishnan R, Permanent magnet synchronous and brushless DC motor drives, Boca Raton: CRC Press, 2010
[5] Lini Mathew and Vivek Kumar Pandey, “Design and deelopment of fuzzy logic controller to control the speed of permanent magnet synchronous motor”, JEEER, vol. 3(3), pp. 52-61, March 2011.