Position control for a hydraulic loading system using the adaptive backsliding control method

被引:10
作者
Chen, Lijuan [1 ]
Jiang, Jishang [2 ]
Gao, Wei [2 ]
Wang, Chuan [2 ]
Xu, Wenqiang [2 ]
Ai, Chao [2 ]
Chen, Gexin [2 ]
机构
[1] Shihezi Univ, Sch Mech & Elect Engn, Shihezi 832000, Peoples R China
[2] Yanshan Univ, Sch Mech Engn, Qinhuangdao 066004, Peoples R China
基金
中国国家自然科学基金;
关键词
Valve-controlled asymmetric cylinder; Adaptive backsliding controller; Position control; Hardware-in-a-loop;
D O I
10.1016/j.conengprac.2023.105586
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A valve-controlled asymmetric cylinder loading system was taken as the research object in this study. To solve the problems existing in electro-hydraulic servo loading systems, such as low loading accuracy, interference from the external environment, and strong nonlinear, time-variant, and uncertain parameters in position control, a position control strategy for valve-controlled cylinders, based on the adaptive backsliding control method, is proposed. The system was divided into several subsystems, then, the stability of each subsystem was guaranteed by the Lyapunov stability criterion, and the unknown parameters of the system were expressed by known parameters to ensure stability. To conduct experimental verification, a set of valve-controlled asymmetric cylinder loading system hardware-in-a-loop platform is designed based on the xPC Target realtime control kernel in MATLAB, and the application of complex control algorithms is realized in engineering systems. Through experiments and simulations, the effectiveness of the control method is verified. During 2-Hz sinusoidal tracking, the maximum deviation for the adaptive controller was reduced by 47.7% from that for a PID controller, and the phase lag was smaller. The results show that the adaptive backsliding control method is effective, and the research results are of great significance to the high performance control of hydraulic loading system and the engineering application of complex algorithms.
引用
收藏
页数:10
相关论文
共 32 条
[1]   Adaptive backstepping quantized control for a class of unknown nonlinear systems [J].
Aslmostafa, Ehsan ;
Ghaemi, Sehraneh ;
Badamchizadeh, Mohammad Ali ;
Ghiasi, Amir Rikhtehgar .
ISA TRANSACTIONS, 2022, 125 :146-155
[2]  
Bingkai Wang, 2019, HYDRAULICS PNEUMATIC, V39, P29
[3]  
Chenyao Yan, 2021, ENG EXPT, V61, P61
[4]   Adaptive force tracking control of electrohydraulic systems with low load using the modified LuGre friction model [J].
Dai, Kaiyu ;
Zhu, Zhencai ;
Shen, Gang ;
Tang, Yu ;
Li, Xiang ;
Wang, Wei ;
Wang, Qingguo .
CONTROL ENGINEERING PRACTICE, 2022, 125
[5]   Model predictive force control of hardware implementation for electro-hydraulic servo system [J].
Essa, Mohamed El-Sayed M. ;
Aboelela, Magdy A. S. ;
Hassan, M. A. Moustafa ;
Abdrabbo, S. M. .
TRANSACTIONS OF THE INSTITUTE OF MEASUREMENT AND CONTROL, 2019, 41 (05) :1435-1446
[6]   A new adaptive sliding mode controller based on the RBF neural network for an electro-hydraulic servo system [J].
Feng, Hao ;
Song, Qianyu ;
Ma, Shoulei ;
Ma, Wei ;
Yin, Chenbo ;
Cao, Donghui ;
Yu, Hongfu .
ISA TRANSACTIONS, 2022, 129 :472-484
[7]   A Kind of Electro-hydraulic Servo System Cooperative Control Simulation: An Experimental Research [J].
Gao, Bingwei ;
Shen, Wei ;
Dai, Ye ;
Wang, Wei .
RECENT ADVANCES IN ELECTRICAL & ELECTRONIC ENGINEERING, 2022, 15 (04) :309-322
[8]  
Guo Hongbo, 2004, CHINESE HYDRAULICS P, P38
[9]  
He Changyu, 2019, Journal of Shanghai Jiaotong University, V53, P209, DOI 10.16183/j.cnki.jsjtu.2019.02.012
[10]  
Jianbo Li, 2017, RES ELECT HYDRAULIC