Event-triggered Control for Hydraulic Position Tracking System with Extended State Observer

被引:0
作者
Shen W. [1 ]
Yuan X. [1 ]
Liu M. [2 ]
机构
[1] School of Mechanical Engineering, University of Shanghai for Science and Technology, Shanghai
[2] School of Astronautics, Harbin Institute of Technology, Harbin
来源
Jixie Gongcheng Xuebao/Journal of Mechanical Engineering | 2022年 / 58卷 / 08期
关键词
Event-triggered strategy; Extended state observer; Hydraulic servo system; Network control technology; Position tracking control;
D O I
10.3901/JME.2022.08.274
中图分类号
学科分类号
摘要
The hydraulic control system based on network control technology has the advantages of remote control, modularization and resource sharing. However, the hydraulic control system itself has the characteristics of strong nonlinearity and parameter uncertainty, and the network control system has problems such as limited communication bandwidth, which lead to poor control performance and limit the application. An adaptive robust control strategy with an event-triggered mechanism and an extended state observer(ESO) is proposed to deal with the above problems. By introducing an event-triggered strategy to filter a large amount of redundant data, the utilization of communication bandwidth is improved. An extended state observer is designed based on the model to simultaneously estimate the velocity value and the disturbance outside the mismatch. The uncertain parameters of the hydraulic control system are estimated online through an adaptive algorithm. The global stability of the closed-loop system is analyzed by the Lyapunov stability theory. Experimental results indicate that the designed algorithm has good position tracking control performance while reducing a large amount of data transmission. © 2022 Journal of Mechanical Engineering.
引用
收藏
页码:274 / 284
页数:10
相关论文
共 21 条
[1]  
ZHAO Bin, GUO Weiwei, GE Lei, Et al., Experiment study on operation characteristics of new flow self-balancing pump controlled asymmetric hydraulic cylinder, Journal of Mechanical Engineering, 56, 8, pp. 257-264, (2020)
[2]  
PARK J, LEE B, KANG S, Et al., Online learning control of hydraulic excavators based on echo-state networks, IEEE Transactions on Automation Science and Engineering, 14, 1, pp. 249-259, (2016)
[3]  
XING L, WEN C, LIU Z, Et al., Event-triggered adaptive control for a class of uncertain nonlinear systems, IEEE Transactions on Automatic Control, 62, 4, pp. 2071-2076, (2016)
[4]  
WANG Benfei, PENG Weiwen, ZHANG Ronghui, Et al., Event-triggered deadbeat control for the hybrid energy storage system in electric vehicles, Journal of Mechanical Engineering, 57, 14, pp. 77-86, (2021)
[5]  
HEEMELS W P M H, DONKERS M C F, TEEL A R., Periodic event-triggered control for linear systems, IEEE Transactions on Automatic Control, 58, 4, pp. 847-861, (2012)
[6]  
LIU Z, WANG J, CHEN C L P, Et al., Event trigger fuzzy adaptive compensation control of uncertain stochastic nonlinear systems with actuator failures, IEEE Transactions on Fuzzy Systems, 26, 6, pp. 3770-3781, (2018)
[7]  
WANG D, WANG Z, WANG Z, Et al., Design of hybrid event-triggered containment controllers for homogeneous and heterogeneous multiagent systems, IEEE Transactions on Cybernetics, 51, 10, pp. 4885-4896, (2020)
[8]  
GARCIA E, ANTSAKLIS P J., Model-based event-triggered control for systems with quantization and time-varying network delays, IEEE Transactions on Automatic Control, 58, 2, pp. 422-434, (2012)
[9]  
SHEN W, LIU S, LIU M., Adaptive sliding mode control of hydraulic systems with the event trigger and finite-time disturbance observer, Information Sciences, 569, pp. 55-69, (2021)
[10]  
WEN S, GUO G, CHEN B, Et al., Event-triggered cooperative control of vehicle platoons in vehicular ad hoc networks, Information Sciences, 459, pp. 341-353, (2018)