Predictive Voltage Control of Transformer-less Dynamic Voltage Restorer

IEEE Transactions on Industrial Electronics, 2013

ABSTRACT:

This paper presents a predictive voltage control scheme for effective control of transformer-less dynamic voltage restorer (TDVR). This control scheme utilizes discrete model of voltage source inverter (VSI) and interfacing filter for generation of switching strategy of inverter switches. Predictive voltage control algorithm based TDVR tracks reference voltage effectively and maintains load voltages sinusoidal during various voltage disturbances as well as load conditions. Moreover, this scheme does not require any linear controller or modulation technique. Simulation and experimental results are presented to verify the performance of proposed scheme.

 

KEYWORDS:

  1. Predictive voltage control
  2. Transformer-less dynamic voltage restorer (TDVR)
  3. Voltage disturbance

 

SOFTWARE: MATLAB/SIMULINK

 

BLOCK DIAGRAM:

Fig.1. Single-phase TDVR compensated distribution system.

 

EXPECTED SIMULATION RESULTS:
 Fig.2. Simulation waveforms under voltage sag with 5 mH filter inductance. (a) Source voltage. (b) Load voltage.

Fig.3. Simulation waveforms under voltage sag. (a) Source voltage. (b) Load voltage.

Fig.4. Simulation waveforms under voltage swell. (a) Source voltage. (b) Load voltage.

Fig.5. Simulation waveforms under voltage sag with RC type nonlinear load. (a) Source voltage. (b) Load voltage. (c) Load current.

 

CONCLUSION:

This paper presents the speed control of BLDC motor using anti wind up PI controller and fuzzy controller for three phase BLDC motor. The simulation results are compared with PI controller results. The conventional PI controller results are slower compared to fuzzy and anti wind up controllers. From the simulation results, it is clear that for the load variation anti wind up PI controller gave better response than conventional PI and fuzzy controller. Hence anti wind up PI controller is found to be more suitable for BLDC motor drive during load variation. It can also be observed from the simulation results that performance of fuzzy controller is better during the case of speed variation.

 

REFERENCES:

  • Arulmozhiyal, R. Kandibanv, “Design of Fuzzy PID Controller for Brushless DC Motor”, in Proc. IEEE International Conference on Computer Communication and Informatics, Coimbatore, 2012.
  • Anirban Ghoshal and Vinod John, “Anti-windup Schemes for Proportional Integral and Proportional Resonant Controller”, in Proc. National Power electronic conference, Roorkee, 2010.
  • F. Z. Abidin, D. Ishak and A. Hasni Abu Hassan, “A Comparative Study of PI, Fuzzy and Hybrid PI Fuzzy Controller for Speed Control of Brushless DC Motor Drive”, in Proc. IEEE International conference on Computer applications and and Industrial electronics, Malysia, 2011.
  • Choi, C. W Park, S. Rhyu and H. Sung, “Development and Control of BLDC Motor using Fuzzy Models”,in Proc. IEEE international Conference on Robotics, Automation and Mechatronics, Chengdu, 2004.
  • Bohn and D.P. Atherton, “An analysis package comparing PID anti-windup strategies,” IEEE Trans. controls system, Vol.15, No. 2, pp.34-40, 1995.

 

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