MODEL REFERENCE ADAPTIVE CONTROL-BASED GENETIC ALGORITHM DESIGN FOR HEADING SHIP MOTION

Authors

  • Nasir Ahmad Al-Awad University of Mustansiriyah, Faculty of Engineering, Department of Computer Engineering, Palestine Street, 10001 Baghdad, Iraq

DOI:

https://doi.org/10.14311/AP.2020.60.0197

Keywords:

Nomoto ship mathematical models, course changing, ship heading control, PID controller, LQR controller, MRAC-GA controller

Abstract

In this paper, the heading control of a large ship is enhanced with a specific end goal, to check the unwanted impact of the waves on the actuator framework. The Nomoto model is investigated to describe the ship’s guiding progression. First and second order models are considered here. The viability of the models is examined based on the principal properties of the Nomoto model. Different controllers are proposed, these are Proportional Integral Derivative (PID), Linear Quadratic Regulator (LQR) and Model Reference Adaptive Control Genetic optimization Algorithm (MRAC-GA) for a ship heading control. The results show that the MRAC-GA controller provides the best results to satisfy the design requirements. The Matlab/Simulink tool is utilized to demonstrate the proposed arrangement in the control loop.

Author Biography

Nasir Ahmad Al-Awad, University of Mustansiriyah, Faculty of Engineering, Department of Computer Engineering, Palestine Street, 10001 Baghdad, Iraq

Computer Engneering Department

Downloads

Published

2020-07-01

Issue

Section

Articles