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

doi:10.3901/JME.2022.08.274

Abstract

Abstract: 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.

Key words: hydraulic servo system, network control technology, event-triggered strategy, extended state observer, position tracking control

CLC Number:

TP273

SHEN Wei, YUAN Xiaokang, LIU Ming. Event-triggered Control for Hydraulic Position Tracking System with Extended State Observer[J]. Journal of Mechanical Engineering, 2022, 58(8): 274-284.

References

[1] 赵斌,郭伟伟,葛磊,等.新型流量自平衡泵控非对称液压缸运行特性试验研究[J].机械工程学报,2020,56(8):257-264. ZHAO Bin,GUO Weiwei,GE Lei,et al. Experiment study on operation characteristics of new flow self-balancing pump controlled asymmetric hydraulic cylinder[J]. Journal of Mechanical Engineering,2020,56(8):257-264.
[2] PARK J,LEE B,KANG S,et al. Online learning control of hydraulic excavators based on echo-state networks[J]. IEEE Transactions on Automation Science and Engineering,2016,14(1):249-259.
[3] XING L,WEN C,LIU Z,et al. Event-triggered adaptive control for a class of uncertain nonlinear systems[J]. IEEE Transactions on Automatic Control,2016,62(4):2071-2076.
[4] 王本斐,彭卫文,张荣辉,等.电动汽车混合储能系统的事件触发无差拍控制[J].机械工程学报,2021,57(14):77-86. WANG Benfei,PENG Weiwen,ZHANG Ronghui,et al. Event-triggered deadbeat control for the hybrid energy storage system in electric vehicles[J]. Journal of Mechanical Engineering,2021,57(14):77-86.
[5] HEEMELS W P M H,DONKERS M C F,TEEL A R. Periodic event-triggered control for linear systems[J]. IEEE Transactions on Automatic Control,2012,58(4):847-861.
[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[J]. IEEE Transactions on Fuzzy Systems,2018,26(6):3770-3781.
[7] WANG D,WANG Z,WANG Z,et al. Design of hybrid event-triggered containment controllers for homogeneous and heterogeneous multiagent systems[J]. IEEE Transactions on Cybernetics,2020,51(10):4885-4896.
[8] GARCIA E,ANTSAKLIS P J. Model-based event-triggered control for systems with quantization and time-varying network delays[J]. IEEE Transactions on Automatic Control,2012,58(2):422-434.
[9] SHEN W,LIU S,LIU M. Adaptive sliding mode control of hydraulic systems with the event trigger and finite-time disturbance observer[J]. Information Sciences,2021,569:55-69.
[10] WEN S,GUO G,CHEN B,et al. Event-triggered cooperative control of vehicle platoons in vehicular ad hoc networks[J]. Information Sciences,2018,459:341-353.
[11] MINTSA H A,VENUGOPAL R,KENNE J P,et al. Feedback linearization-based position control of an electrohydraulic servo system with supply pressure uncertainty[J]. IEEE Transactions on Control Systems Technology,2011,20(4):1092-1099.
[12] MAEDA G J,MANCHESTER I R,RYE D C. Combined ILC and disturbance observer for the rejection of near-repetitive disturbances,with application to excavation[J]. IEEE Transactions on Control Systems Technology,2015,23(5):1754-1769.
[13] 杨亮亮,王杰,王飞,等.基于最优控制迭代学习的直线伺服系统振动抑制研究[J].机械工程学报,2019,55(15):217-225. YANG Liangliang,WANG Jie,WANG Fei,et al. Research on vibration suppression of linear servo system based on optimal control iterative learning[J]. Journal of Mechanical Engineering,2019,55(15):217-225.
[14] SUN X,WANG Y,CAI Y,et al. An adaptive nonsingular fast terminal sliding mode control for yaw stability control of bus based on STI tire model[J]. Chinese Journal of Mechanical Engineering,2021,34(1):1-14.
[15] KATO T,XU Y,TANAKA T,et al. Force control for ultraprecision hybrid electric-pneumatic vertical-positioning device[J]. International Journal of Hydromechatronics,2021,4(2):185-201.
[16] WON D,KIM W,SHIN D,et al. High-gain disturbance observer-based backstepping control with output tracking error constraint for electro-hydraulic systems[J]. IEEE Transactions on Control Systems Technology,2014,23(2):787-795.
[17] YAO J,DENG W. Active disturbance rejection adaptive control of hydraulic servo systems[J]. IEEE Transactions on Industrial Electronics,2017,64(10):8023-8032.
[18] DENG W,YAO J. Extended-state-observer-based adaptive control of electrohydraulic servomechanisms without velocity measurement[J]. IEEE/ASME Transactions on Mechatronics,2019,25(3):1151-1161.
[19] TALOLE S E,KOLHE J P,PHADKE S B. Extended-state-observer-based control of flexible-joint system with experimental validation[J]. IEEE Transactions on Industrial Electronics,2009,57(4):1411-1419.
[20] ZOU W,SHI P,XIANG Z,et al. Consensus tracking control of switched stochastic nonlinear multiagent systems via event-triggered strategy[J]. IEEE Transactions on Neural Networks and Learning Systems,2019,31(3):1036-1045.
[21] DENG W,YAO J,MA D. Robust adaptive precision motion control of hydraulic actuators with valve dead-zone compensation[J]. ISA Transactions,2017,70:269-278.