Discrete-time predictive trajectory tracking control for nonholonomic mobile robots with obstacle avoidance

Author:

Zhang Jingjun1,Zhang Shaobo1ORCID,Gao Ruizhen1

Affiliation:

1. College of Mechanical and Equipment Engineering, Hebei University of Engineering, Handan, Hebei China

Abstract

This article presents a tracking control approach with obstacle avoidance for a mobile robot. The control law is composed of two parts. The first is a discrete-time model predictive method-based trajectory tracking control law that is derived using an optimal quadratic algorithm. The second part is the obstacle avoidance strategies that switch according to two different designed obstacle avoidance regions. The controllability of the avoidance control law is analyzed. The simulation results validate the effectiveness of the proposed control law considering both trajectory tracking and obstacle avoidance.

Funder

Science and technology research projects of Colleges and Universities in Hebei?China

Publisher

SAGE Publications

Subject

Artificial Intelligence,Computer Science Applications,Software

Cited by 3 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. Implementation of Collision Free Path Following Maneuver for WMR Embedding Fuzzy Logic Driven Artificial Intelligence Framework;Advances In Robotics - 6th International Conference of The Robotics Society;2023-07-05

2. Exponentially Tracking Control of Nonholonomic Wheeled Mobile Robot based on Contraction Theory;2022 IEEE International Conference on Robotics and Biomimetics (ROBIO);2022-12-05

3. Intelligent controller for nonholonomic wheeled mobile robot: A fuzzy path following combination;Mathematics and Computers in Simulation;2022-03

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