Tuning of Indirect IMC-PID Controller based on PSO Algorithm

Abstract

This paper provides the implementation of indirect design approach of IMC-PID controller based on PSO algorithms. In indirect design approach a plant G (s) is shifted by a constant parameter ψ. Then an IMC-PID controller is designed for the shifted version of the plant G(s -ψ). Gains of the PID controller is depends on the only one unknows Parameters ψ when the plant parameters are known. Here is an assumption that the plant parameters are known. Particle Swarm optimization is also used for determining the optimized values of ψ for PID controller. Proposed method also does not use any IMC filter, and it provides less settling time, minimum overshoot, less integral absolute error (IAE) and increases the robustness of the system.