Design and processor in the loop implementation of an improved control for IM driven solar PV fed water pumping system

Abstract

In recent years, the improvement of photovoltaic water pumping system (PVWPS) efficiency takes the considerable interest of researchers due to its operating based on cleaner electrical energy production. In this paper, a new approach based on fuzzy logic controller incorporating loss minimization technique applied to the induction machine (IM) is developed for PVWPS applications. The proposed control selects the optimal flux magnitude by minimization of the IM losses. Moreover, Variable step size perturb and observe method is introduced. The suitability of the proposed control is approved by reducing the absorbed current; therefore, the motor losses are minimized and the efficiency is improved. The proposed control strategy is compared with the method without losses minimization. The comparison results illustrate the effectiveness of the proposed method based on losses minimization regarding the electrical speed, absorbed current, flow water and developed flux. A processor-in-the-loop (PIL) test is effectuated as an experimental test of the proposed method. It consists in implementing the generated C code on the STM32F4 discovery board. The obtained results from the embedded board are similar to numerical simulation results.