Solar Tracking Systems (STS) are required to accurately maintain the CPV systems perpendicular to the apparent solar position for an efficient energy conversion. Various control strategies have been implemented that seek to reduce tracking errors, including On-Off controls, Maximum Power Point Tracker (MPPT) techniques, Proportional-Integral-Derivative (PID) controllers, Fuzzy Logic controllers (FLC), Generalized Proportional Integral (GPI) controllers, cascade controllers, among others [1-3]. In [4] an analysis of various control algorithms is carried out. We present a comparison of the three common control strategies (On-Off, PID, and FLC) by means of a multibody simulation, considering the same operating conditions for the strategies. This allows to define which control strategy is the best for CPV technology due to the obtained tracking accuracy.
Solar Tracking Systems (STS) are required to accurately maintain the CPV systems perpendicular to the apparent solar position for an efficient energy conversion. Various control strategies have been implemented that seek to reduce tracking errors, including On-Off controls, Maximum Power Point Tracker (MPPT) techniques, Proportional-Integral-Derivative (PID) controllers, Fuzzy Logic controllers (FLC), Generalized Proportional Integral (GPI) controllers, cascade controllers, among others [1-3]. In [4] an analysis of various control algorithms is carried out. We present a comparison of the three common control strategies (On-Off, PID, and FLC) by means of a multibody simulation, considering the same operating conditions for the strategies. This allows to define which control strategy is the best for CPV technology due to the obtained tracking accuracy. Read More
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