Order reduction of low damping plants with PSO based PID controllers using RMS model order reduction MATLAB tool

In this paper a MATLAB-based tool with a Graphical User Interface (GUI), to compute reduced models of a low damping plants are presented. The model reduction techniques implemented in this tool are based on Different techniques. The method selected in this paper is Hybrid method. Upon execution of the toolbox, a GUI will appear with four frames named “METHODS”, “INPUT DATA”, “OUTPUT OPTIONS”, and “DISPLAY UNIT”. PID controllers are the most widely used controllers in the control industry for last six decades. Most of the industrial plants, in general, have low damping characteristic. To design PID controllers for such plants, for desired transient response specifications is an important problem. Many methods have been proposed for designing PID controller for such plants among them Zeigler - Nichols tuning method is one of the classical method used. In this paper, we suggest a method based on particle Swarm Optimization (PSO) for PID controller design for low dapping plants. The simulation results shows the comparison of step responses of original and reduced low damping plants.