Composite adaptive control based on historical data for electro-hydraulic system driven by dual servo motor-pump with unknown disturbance

被引:2
作者
Zhang, Xiaofu [1 ]
Shi, Guanglin [1 ]
机构
[1] Shanghai Jiao Tong Univ, Sch Mech Engn, Shanghai 200240, Peoples R China
基金
中国国家自然科学基金;
关键词
Electro-hydraulic system; dual servo motor-pump; position tracking control; composite adaptive control; historical data; disturbance observer; ROBUST-CONTROL; NEURAL-NETWORK; MOTION CONTROL; OBSERVER; ACTUATORS; PARAMETER; DESIGN;
D O I
10.1177/0959651821998601
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 article presents a composite adaptive control method to improve the position-tracking performance of an electro-hydraulic system driven by dual constant displacement pump and dual servo motor named as a novel electro-hydraulic system with unknown disturbance. A composite adaptive controller based on backstepping method is designed to estimate the uncertainties of electro-hydraulic control system, including the damping coefficient and elastic modulus. In order to release the persistent excitation condition of conventional adaptive control, which is often infeasible in practice, a prediction error based on the online historical data is used to update the estimated parameters. Furthermore, a disturbance observer is used to estimate the disturbance including the unmeasurable load force, friction and other unmodeled disturbance. The experiment results are provided and compared with other methods to verify the effectiveness of the proposed method, and the results have indicated that the proposed method has a better position-tracking performance with the convergent estimated parameters.
引用
收藏
页码:1299 / 1308
页数:10
相关论文
共 37 条
[11]   Nonlinear adaptive robust control of single-rod electro-hydraulic actuator with unknown nonlinear parameters [J].
Guan, Cheng ;
Pan, Shuangxia .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2008, 16 (03) :434-445
[12]   Backstepping Control of Electro-Hydraulic System Based on Extended-State-Observer With Plant Dynamics Largely Unknown [J].
Guo, Qing ;
Zhang, Yi ;
Celler, Branko G. ;
Su, Steven W. .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (11) :6909-6920
[13]   Adaptive Composite Fuzzy Dynamic Surface Control for Electro-Hydraulic-System, with Variable-Supply-Pressure [J].
Guo, Qinyang ;
Shi, Guanglin ;
Wang, Dongmei .
ASIAN JOURNAL OF CONTROL, 2020, 22 (01) :521-535
[14]   Neural network-based adaptive composite dynamic surface control for electro-hydraulic system with very low velocity [J].
Guo, Qinyang ;
Shi, Guanglin ;
Wang, Dongmei ;
He, Changyu .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2017, 231 (10) :867-880
[15]   Electric-hydrostatic drive - an innovative energy-saving power and motion control system [J].
Helduser, S .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 1999, 213 (I5) :427-437
[16]   Precision Motion Control of a Servomotor-Pump Direct-Drive Electrohydraulic System With a Nonlinear Pump Flow Mapping [J].
Helian, Bobo ;
Chen, Zheng ;
Yao, Bin .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2020, 67 (10) :8638-8648
[17]   Parameter estimation of nonlinear systems using a robust possibilistic c-regression model algorithm [J].
Jabeur Telmoudi, Achraf ;
Soltani, Moez ;
Chaouech, Lotfi ;
Chaari, Abdelkader .
PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART I-JOURNAL OF SYSTEMS AND CONTROL ENGINEERING, 2020, 234 (01) :134-143
[18]   A design of bilateral teleoperation systems using composite adaptive controller [J].
Kim, Byeong-Yeon ;
Ahn, Hyo-Sung .
CONTROL ENGINEERING PRACTICE, 2013, 21 (12) :1641-1652
[19]  
Lee LW, 2011, IEEE INT CONF FUZZY, P543
[20]   Indirect Adaptive Robust Control of Hydraulic Manipulators With Accurate Parameter Estimates [J].
Mohanty, Amit ;
Yao, Bin .
IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY, 2011, 19 (03) :567-575