Design of RST controllers based on intelligent optimization algorithms

Abstract

The Proportional Integral Derivative controller (PID) and the RST controller are the dominant controllers nowadays, since they have simple structure and perform well in most of control loops application. However, unlike PID the RST controller doesn't have direct tuning procedure. In this paper we present an approach for designing and tuning the RST controller by using intelligence optimization algorithms. Three algorithms namely (BSOA, DE and PSO) have been tested in tuning RST controller that controls an electrical DC motor that has been used as a benchmark. Simulation results show PSO tuned RST structure to be more robust and have high performance.