Design and Comparative Study of Photovoltaic Maximum Power Point Tracking Converter With DC Motor Speed Control


 The photovoltaic panels as the power supply depends upon the weather condition (radiation, temperature). These conditions must be known to control the running point of the greatest power of photovoltaic panel. In the present paper , the study and design searching the greatest power point by solar panels direct current motor separately excited speed control. Three control methods studied and designed to search the greatest power point of the photovoltaic panel and speed control of direct current motor. The first method is perturbing and observing controller. The second method is proportional-integral-derivative controller, whereas the controller gains are obtained by using trial and error process. The third method is proportional-integralderivative controller based on bacterial foraging algorithm. It used to compute the proportional-integral-derivative controller gains. The three control methods are used to obtain the greatest power point of PV panels and improve the direct current motor output speed performance response. The study of comparative results for open loop and close loop system with different designed controllers. The Simulation results were studied and compared under many weather conditions and direct current motor load torque disturbance. The results of comparison that produce the best controller method is proportional-integral-derivative controller with bacterial foraging algorithm which produce optimal performance results..


  1. Photovoltaic Panel (PV)
  2. Perturbation and Observation Algorithm (Per & Obs)
  3. Searching the Greatest Power Point (SGPP)
  4. Direct Current Motor (DC Motor),Proportional
  5. Integral Derivative Controller (PID) and Bacterial Foraging
  6. Optimization Algorithm (BFOA)



Fig.1 The close loop system block diagram


Fig.2. The PVpower response under various weather condition without Controller

Fig.3 DC motor speed response when TL=5-8 Nm without controller

Fig.4 PV power response under various condition with Per and Obs Controller

Fig.5. DC motor speed response when TL=5-8 Nm with Per and Obs Controller

Fig.6 PV power response under various condition with PID controller

Fig.7 DC motor speed response when TL=5-8 Nm with PID controller

Fig.8 PV power response under various condition with PID/BFOA Controller

Fig.9 DC motor speed response when TL=5-8 Nm with PID/BFOA Controller

Fig.10 PV power responses when various weather condition with three different controllers

Fig.11. Zoom of Power responses with three different controllers

Fig.12. DC motor speed responses when TL=5-8 Nm with three different Controllers

Fig.13. Zoom of speed response with three different controllers.


The PV system designs and studies with the dc-dc step up boost converter, which loads by DC motor. The DC motor loads by various load torque. The simulation results of the system studies and the PV panels’ output power responses have been studied under the various weather conditions. The DC motor speed control performance have been studied, three techniques were designed, studied and used to improve and track of the maximum power of the PV panels system and these techniques were used to improve the DC motor speed performance. The first technique is Perturbation and Observation technique. The second technique is the proportional-integral-derivative controller and the third technique is hybrid Proportional-integral-derivative with optimization algorithm of bacterial foraging. The output motor speed and maximum power of the PV panels (PV model, DC motor) with the three techniques have been tested and comparatively studied. These comparative results under the various weather conditions and various external load torque that produce the best performance results and greatest tracking power of PV panels is the PID controller based BFOA controller .the comparison results in the table 4 and 5 proved that.


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[2] Joe-Air, J., Tsong-Liang, H., Ying-Tung, H., and Chia-Hong ,C. “Maximum Power Tracking for Photovoltaic Power Systems,” Tamkang Journal of Science and Engineering ,Vol.8, No 2,pp. 147-153(2005).

[3] Liu C., Wu B., and Cheung R., “ Advanced Algorithm for MPPT Control of Photovoltaic System,” 1st Canadian Solar Building Research Network Conference, Aug. 2006.

[4] A. Yafaoui.,B. Wu and R. Cheung, “Implementation of Maximum Power Point Tracking Algorithm for Residential Photovoltaic Systems ,” Calgary, June , Canadian Solar Conf. 2007.

[5] Vikrant.A.Chaudhari, “ Automatic Peak Power Tracking for Solar PV Module Using dSpacer Software. ,” in Maulana Azad National Institute Of Technology, vol.Degree of Master of Technology In Energy. Bhopal: Deemed University, 2005,pp.98.

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