A Cognition Path Planning with a Nonlinear Controller Design for Wheeled Mobile Robot Based on an Intelligent Algorithm

  • Ahmed S. Al-Araji Control & Systems Eng. Dept. University of Technology
  • Attarid K. Ahmed Control & Systems Eng. Dept. University of Technology
  • Khulood E. Dagher Al-Khwarizmi College of Engineering - University of Baghdad
Keywords: Path Planning, PID controller, Modified Elman Neural Network; Mobile Robot; PSO Algorithm

Abstract

This paper presents a cognition path planning with control algorithm design for a nonholonomic wheeled mobile robot based on Particle Swarm Optimization (PSO) algorithm. The aim of this work is to propose the circular roadmap (CRM) method to plan and generate optimal path with free navigation as well as to propose a nonlinear MIMO-PID-MENN controller in order to track the wheeled mobile robot on the reference path. The PSO is used to find an online tune the control parameters of the proposed controller to get the best torques actions for the wheeled mobile robot. The numerical simulation results based on the Matlab package show that the proposed structure has a precise and highly accurate distance of the generated reference path as well as it has obtained a perfect torque control action without spikes and no saturation torque state that leads to minimize the tracking error for the wheeled mobile robot.

 

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Published
2018-12-30
How to Cite
Al-Araji, A., Ahmed, A. and Dagher, K. (2018) “A Cognition Path Planning with a Nonlinear Controller Design for Wheeled Mobile Robot Based on an Intelligent Algorithm”, Journal of Engineering, 25(1), pp. 64-83. doi: 10.31026/j.eng.2019.01.06.