Non-model-based control for a wheeled mobile robot towing two trailers

Author:

Keymasi Khalaji Ali1,Rahimi Bidgoli Mojtaba1,Moosavian S Ali A1

Affiliation:

1. Department of Mechanical Engineering, K. N. Toosi University of Technology, Tehran, Iran

Abstract

In this paper, trajectory tracking control of a wheeled mobile robot (tractor) with two trailers including three nonholonomic constraints is analyzed. This system is a nonlinear, under actuated mechanical system subjected to nonholonomic kinematic constraints. First, system dynamic equations are obtained. A non-model-based control algorithm using PD-action filtered errors has been used in order to control the wheeled robot. Non-model-based controllers are always more appropriate than model-based algorithms due to lower dependency on dynamic models, lower computational costs, and also robustness to uncertainties. Asymptotic stability of the closed-loop system has been investigated using Lyapunov method and Barbalat’s lemma. Finally, in order to show the effectiveness of the proposed approach simulation and experimental results have been presented. Obtained results show that without requiring a priori knowledge of plant dynamics, and with reduced computational burden, the tracking performance of the presented algorithm is quite satisfactory.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Condensed Matter Physics

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Adaptive Sliding Mode Control for Trajectory Tracking in Four-Wheeled Mobile Robots Under Uncertainties and External Disturbances;2024 36th Chinese Control and Decision Conference (CCDC);2024-05-25

2. Learning model predictive controller for wheeled mobile robot with less time delay;Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science;2024-04-25

3. An adaptive robust path-tracking control algorithm of multi-articulated and redundantly actuated virtual track train;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2023-08-29

4. A Neural-network-based Control System for a Dynamic Model of Tractor With Multiple Trailers System;International Journal of Control, Automation and Systems;2023-08-25

5. Adaptive Constrained Formation-Tracking Control for a Tractor-Trailer Mobile Robot Team With Multiple Constraints;IEEE Transactions on Automatic Control;2023-03

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