Adaptive fuzzy sliding mode control of uncertain nonholonomic wheeled mobile robot with external disturbance and actuator saturation

被引:15
作者
Zheng, Yunjun [1 ,2 ]
Zheng, Jinchuan [2 ]
Shao, Ke [3 ]
Zhao, Han [1 ]
Man, Zhihong [2 ]
Sun, Zhe [4 ]
机构
[1] Hefei Univ Technol, Sch Mech Engn, Hefei 230009, Peoples R China
[2] Swinburne Univ Technol, Sch Sci Comp & Engn Technol, Hawthorn, Vic 3122, Australia
[3] Northwestern Polytech Univ, Sch Civil Aviat, Xian 710072, Peoples R China
[4] Zhejiang Univ Technol, Coll Informat Engn, Hangzhou 310014, Peoples R China
关键词
Nonholonomic wheeled mobile robot; Trajectory tracking control; Adaptive fuzzy sliding mode; Actuator saturation; TRACKING CONTROL; INPUT SATURATION; MOTION CONTROL; STABILIZATION; DESIGN; STABILITY;
D O I
10.1016/j.ins.2024.120303
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper developed a modified barrier function -based adaptive sliding mode control (MBFASMC) method to improve the tracking precision and robustness performance of the nonholonomic wheeled mobile robot (NWMR), which is subject to actuator saturation and external disturbance. Owing to the modified positive semi -definite barrier function (MPSDBF), the requirement for disturbance bound and the overestimation of control gain are eliminated. The nonsingular terminal sliding manifold and MPSDBF-based adaptive mechanism can guarantee that the sliding variables and the posture errors of NWMR converge to precisely predefined ultimate bounds in a finite time. In order to compensate for the adverse effect of input saturation, an auxiliary dynamics is proposed based on saturation error and used to construct the MBFASMC. Compared to the recent anti -saturation control methods, the demand for saturation level is released in the proposed control method. Moreover, a modified barrier function -based adaptive fuzzy sliding mode control (MBFAFSMC) is provided to relieve the control chattering problem. By Lyapunov analysis, it is validated that the proposed methods can ensure the pre -specified and finite -time convergence performance of the uncertain NWMR. The MBFASMC and MBFAFSMC are also applied to an actual NWMR experimental platform with artificial disturbances to verify the effectiveness of the proposed methods.
引用
收藏
页数:24
相关论文
共 49 条
[1]   Adaptive Sliding-Mode Control of an Automotive Electronic Throttle in the Presence of Input Saturation Constraint [J].
Bai, Rui .
IEEE-CAA JOURNAL OF AUTOMATICA SINICA, 2018, 5 (04) :878-884
[2]   Design and implementation of an adaptive sliding-mode dynamic controller for wheeled mobile robots [J].
Chen, Chih-Yang ;
Li, Tzuu-Hseng S. ;
Yeh, Ying-Chieh ;
Chang, Cha-Cheng .
MECHATRONICS, 2009, 19 (02) :156-166
[3]   Recurrent Neural Network-Based Robust Nonsingular Sliding Mode Control With Input Saturation for a Non-Holonomic Spherical Robot [J].
Chen, Shu-Bo ;
Beigi, Alireza ;
Yousefpour, Amin ;
Rajaee, Farhad ;
Jahanshahi, Hadi ;
Bekiros, Stelios ;
Martinez, Raul Alcaraz ;
Chu, Yuming .
IEEE ACCESS, 2020, 8 :188441-188453
[4]   Model Predictive Tracking Control of Nonholonomic Mobile Robots With Coupled Input Constraints and Unknown Dynamics [J].
Chen, Yao ;
Li, Zhijun ;
Kong, Haiyi ;
Ke, Fan .
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2019, 15 (06) :3196-3205
[5]   Definition and Application of Variable Resistance Coefficient for Wheeled Mobile Robots on Deformable Terrain [J].
Ding, Liang ;
Huang, Lan ;
Li, Shu ;
Gao, Haibo ;
Deng, Huichao ;
Li, Yuankai ;
Liu, Guangjun .
IEEE TRANSACTIONS ON ROBOTICS, 2020, 36 (03) :894-909
[6]   A novel adaptive nonsingular terminal sliding mode controller design and its application to active front steering system [J].
Ding, Shihong ;
Liu, Lu ;
Park, Ju H. .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2019, 29 (12) :4250-4269
[7]   Adaptive neural network tracking control of an omnidirectional mobile robot [J].
Feng, Xingkai ;
Wang, Congqing .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2023, 237 (03) :375-387
[8]   Adaptive tracking control of a nonholonomic mobile robot [J].
Fukao, T ;
Nakagawa, H ;
Adachi, N .
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 2000, 16 (05) :609-615
[9]   Multi-instance multi-label learning based on Gaussian process with application to visual mobile robot navigation [J].
He, Jianjun ;
Gu, Hong ;
Wang, Zhelong .
INFORMATION SCIENCES, 2012, 190 :162-177
[10]   Neural network-based adaptive tracking control of mobile robots in the presence of wheel slip and external disturbance force [J].
Hoang, Ngoc-Bach ;
Kang, Hee-Jun .
NEUROCOMPUTING, 2016, 188 :12-22