Abstract:
The energy generating capability of a Photovoltaic (PV) system depends on the
environmental conditions and the variation in load connected to it. The performance of controller used for maximum power point tracking (MPPT) can improve
the efficiency of the PV system. PV array is a nonlinear system, so a nonlinear controller is more suitable for MPPT applications. However, the performance
of nonlinear controllers completely depend upon the nonlinear model of the system under consideration. Since all the real world systems are subjected to vary
with time, it is not feasible to dynamically remodel the system as well as the
controller all the time. To reduce the steady state error, that can arise in such
a situation, nonlinear Backstepping controller with integral action has been proposed, to improve the performance of recently proposed Backstepping controller
for MPPT. The study uses a regression plane to generate the reference peak power
voltage for MPPT using non inverting DC - DC Buckboost converter. Global Assymptotic stability of the whole system has been proved using Lyapunov stability
criteria. MATLAB/Simulink is used to test the performance of the proposed controller under varying irradiance and temperature conditions. To further validate
its performance, we have compared it with modified Perturb and Observe (P&O)
algorithm, nonlinear Backstepping controller and Fuzzy Logic Based nonlinear
controller under rapidly varying environmental conditions.
