1Department of Electrical and Electronic Engineering Department, Faculty of Engineering, Enugu State University of Science and Technology (ESUT), Enugu State, Nigeria
2Department of Electrical and Electronic Engineering Department, Faculty of Engineering, Enugu State University of Science and Technology (ESUT), Enugu State, Nigeria
3Department of Electrical and Electronic Engineering Department, Faculty of Engineering, Enugu State University of Science and Technology (ESUT), Enugu State, Nigeria
Online published on 5 December, 2018.
This paper presents a way of eliminating overshoot in a DC servomotor using a model reference adaptive control system, which is a controller in the Neural Network (NN) toolbox. A Speed and Position based MRAC system and a Proportional Integral Derivative (PID) controller were used to control a physical DC servomotor with known parameters. This was achieved through physical measurements by configuration of the servo driver, the computer system and the DC motor using, Simulink toolbox and Microsoft Windows Software Development kits (SDKs) 7. The reference input to the system was a step function input. The purpose is to determine the time-response of the developed system also, the stability of the system and its ability to reach one stationary state when starting from another. Results from physical measurements show that MRAC system was able to accommodate nonlinearities associated with DC motor and yet, maintain good control of the motor without voltage overshoot as against the PID controller.
Artificial Neural Network (ANN), ANN Inverse Model (AIM), DC Motor, Model Reference Adaptive Control (MRAC), Overshoot, Proportional Integral Derivative (PID)
