Unity Proportional Gain Resonant and Gain Scheduled Proportional (PR-P) Controller-Based Variable Perturbation Size Real-Time Adaptive Perturb and Observe (P&O) MPPT Algorithm for PV Systems

In this paper, Proportional Gain Resonant and Scheduled (PR-P) Controller based variable perturbation size real-time adaptive perturb observe (P&O) maximum power point tracking (MPPT) algorithm is presented. The proposed control scheme resolved the drawbacks of conventional P&O MPPT method associated with use constant that leads to poor transient response high continuous steady-state oscillations. prime objective using PR-P controller utilize inherited properties signal produced by controller’s resonant path integrate it update best estimated represents working principle extremum seeking (ESC) in characterizes overall system learning-based real time (RTA). Additionally, utilization internal dynamics overcome challenges namely, complexity, computational burden, implantation cost slow performance association commonly used soft computing intelligent systems strategies. verified MATLAB/Simulink applying comparative analysis PI controlled algorithm. Moreover, validated experimentally implementation MATLAB/Simulink/Stateflow on dSPACE Real-time-interface (RTI) 1007 processor board, DS2004 A/D CP4002 Digital I/O boards. experimental results reveal strategy enhanced speed five times reduced oscillations around (MPP) more than 99% energy extracting efficiency.