A simulation study of multi-disciplinary position control methods of robot arm D.C motor

Abstract

This paper presents a simulation study using different control strategies to control the position of robot arm DC motor. Fixed field DC motor mathematical model is applied using certain parameters settings. A state feedback pole placement, Fuzzy Logic, Multi-Layer Perceptron (MLP) Neural Network, and the conventional PID control theories have been applied successfully. Matlab Simulink work space is used in the simulation. Almost the same controlled output responses are obtained with a different transient responses speed.