Prescribed-time control of four-wheel independently driven skid-steering mobile robots with prescribed performance

被引:12
作者
Ge, Meng [1 ]
Xu, Hong-ze [1 ]
Song, Qi [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing 100044, Peoples R China
关键词
Prescribed-time control; Skid-steering mobile robot; Trajectory tracking control; Fractional-order control; Prescribed-performance control; EFFICIENT CONTROL ALLOCATION; TRAJECTORY TRACKING CONTROL; SLIDING MODE CONTROL; ELECTRIC VEHICLES; STABILIZATION; AVOIDANCE; DESIGN;
D O I
10.1007/s11071-023-08926-5
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper investigates the trajectory tracking control problem of a four-wheel independently driven skid-steering mobile robot (FWID-SSMR) while considering friction resistance, parameter variation and external disturbances. Unlike previous studies that only achieved stable tracking control of FWID-SSMR, this paper accomplishes prescribed steady-state and transient performance. Based on the dynamic model of FWID-SSMR, an integer-order prescribed-time controller (IOPTC) is developed first, which can make the tracking errors converge to a predetermined residual set with a preset convergence rate in a prescribed time. Motivated by it, a fractional-order prescribed-time controller (FOPTC) is developed by exploiting the genetic attenuation properties of fractional calculus (FC) for improving the control performance. The feasibility and effectiveness of the developed controller are verified by Lyapunov theoretical analysis and numerical simulation studies. The simulation results show that both the IOPTC and FOPTC outperform the feedback controller (FBC). Moreover, the influence of the performance function on control performance is also tested, which can serve as a reference for selecting the appropriate performance function to use in future applications.
引用
收藏
页码:20991 / 21005
页数:15
相关论文
共 43 条
[1]   Design and implementation of a Model-Free Fractional Order Intelligent PI Fractional Order Sliding Mode Controller for water level tank system [J].
Ardjal, Aghiles ;
Bettayeb, Maamar ;
Mansouri, Rachid ;
Zouak, Belkacem .
ISA TRANSACTIONS, 2022, 127 (501-510) :501-510
[2]  
Bateman H., 1953, Higher Transcendental Functions. Vol. II, V1
[3]   An energy-efficient torque-vectoring algorithm for electric vehicles with multiple motors [J].
Chatzikomis, C. ;
Zanchetta, M. ;
Gruber, P. ;
Sorniotti, A. ;
Modic, B. ;
Motaln, T. ;
Blagotinsek, L. ;
Gotovac, G. .
MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2019, 128 :655-673
[4]   Adaptive Energy-Efficient Control Allocation for Planar Motion Control of Over-Actuated Electric Ground Vehicles [J].
Chen, Yan ;
Wang, Junmin .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2014, 22 (04) :1362-1373
[5]   Design and Experimental Evaluations on Energy Efficient Control Allocation Methods for Overactuated Electric Vehicles: Longitudinal Motion Case [J].
Chen, Yan ;
Wang, Junmin .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2014, 19 (02) :538-548
[6]   Curved Path Following Controller for 4W Skid-Steering Mobile Robots Using Backstepping [J].
Chen, Yang ;
Li, Nan ;
Zeng, Wei ;
Zhang, Shiqian ;
Ma, Guifang .
IEEE ACCESS, 2022, 10 :66072-66082
[7]   Driving Torque Distribution Strategy of Skid-Steering Vehicles with Knowledge-Assisted Reinforcement Learning [J].
Dai, Huatong ;
Chen, Pengzhan ;
Yang, Hui .
APPLIED SCIENCES-BASEL, 2022, 12 (10)
[8]   Wheel Torque Distribution Criteria for Electric Vehicles With Torque-Vectoring Differentials [J].
De Novellis, Leonardo ;
Sorniotti, Aldo ;
Gruber, Patrick .
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2014, 63 (04) :1593-1602
[9]   Fault-Tolerant Predictive Control With Deep-Reinforcement-Learning-Based Torque Distribution for Four In-Wheel Motor Drive Electric Vehicles [J].
Deng, Huifan ;
Zhao, Youqun ;
Nguyen, Anh-Tu ;
Huang, Chao .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2023, 28 (02) :668-680
[10]  
Fan Zeng, 2022, 2021 6th International Conference on Intelligent Transportation Engineering (ICITE 2021). Lecture Notes in Electrical Engineering (901), P929, DOI 10.1007/978-981-19-2259-6_82