An Improved PSO approach for optimal tuning of PI controller for shunt active power filter using FPGA with hardware co-simulation

Abstract

The present paper deals with the development and dynamic performance of non-model based dc link voltage proportional integral (PI) controller for a three phase shunt active power filter (SAPF) implemented using hardware co-simulation. PI controller parameters are tuned using conventional Particle Swarm Optimization (PSO) and Improved Particle Swarm Optimization (IPSO), proposed approach shows the system's performance enhancement as IPSO negates premature convergence and simplifies computational complexity by neglecting each particle's best position in the algorithm. The integral time absolute error (ITAE) is taken as the objective function, which is to be minimized. The dynamic performance of PSO-PI and IPSO-PI controller is tested for different dynamic conditions such as step change in reference voltage and load transients. Extensive simulation studies performed with nonlinear loads in MATLAB®/SIMULINK validate the superiority and better overall performance of the proposed IPSO tuned PI controller.