Controller Performance Assessment (CPA) of Intelligent Control for Non-linear System

rakesh b patel; Satish K Shah

doi:10.37591/joci.v1i1-2-3.3068

Abstract

The objective of this paper is to design and undertake comparative analysis of classical and intelligentcontrollers for nonlinear system. These controllers are compared based on controller performanceassessment in which the different parameters as overshoot, steady-state error, rise time, settling time,response of reference change and output variance are analyzed. To achieve these objectives, the water tankcontrol problem as nonlinear system has been built in Simulink and implementations traditionally classicalcontroller and advance intelligent controller as fuzzy logic and neural network are performed. In classicalcontroller, the proposal-integral control law is used as control algorithm. Sugeno model is used for FLcontroller, while back propagation algorithm is used to train the NARMA-l2 neural network control. Threecontrollers are designed and their performances are compared.Keywords: Controller performance assessment (CPA), classical controller, fuzzy logic controller, NARMAl2neural controller, nonlinear system