Adaptive Repetitive Control of Hydraulic Load Simulator With RISE Feedback

被引:33
作者
Luo, Chengyang [1 ]
Yao, Jianyong [1 ,2 ]
Chen, Fuhong [3 ]
Li, Lan [4 ]
Xu, Qiang [1 ]
机构
[1] Nanjing Univ Sci & Technol, Sch Mech Engn, Nanjing 210094, Jiangsu, Peoples R China
[2] Hebei Prov Key Lab Heavy Machinery Fluid Power Tr, Qinhuangdao 066004, Peoples R China
[3] Aerosp Sci & Technol Corp, Res Inst 7, Design Dept 7, Chengdu 610100, Sichuan, Peoples R China
[4] Beijing Inst Space Launch Technol, Beijing 100076, Peoples R China
基金
中国国家自然科学基金;
关键词
Adaptive control; repetitive control; RISE robust control; electro-hydraulic load simulator; force control; ROBUST MOTION CONTROL; FORCE CONTROL; ASYMPTOTIC TRACKING; NONLINEAR-SYSTEMS; FEEDFORWARD;
D O I
10.1109/ACCESS.2017.2762665
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Electro-hydraulic load simulator is a typical test-equipment for hardware-in-the-loop simulation, and usually performs periodic tasks, in which the modeling uncertainties will also present some periodicity. With this notification, in this paper, the system model of electro-hydraulic load simulator is established, afterward, all periodic uncertainties are transformed into linear-in-parameters form by applying Fourier series approximation, then an adaptive repetitive scheme with a robust integral of the sign of the error (RISE) feedback is synthesized, in which adaptive repetitive law is designed to handle periodic uncertainties and RISE robust term to attenuate unmodeled disturbances. The developed controller features depending on the desired trajectory rather than the system states, therefore it requires little information of the dynamic system and uncertain nonlinearities, which can apparently restrain the problems from noise pollution. In addition, because the periodic uncertainties are approximated as Fourier series and then compensated, the system performance can be greatly improved when performing periodic tasks. The resulting final control input is continuous while asymptotic tracking performance can be achieved with various uncertainties and disturbances by the proposed controller via Lyapunov stability analysis. In comparison to the other three controllers, the effectiveness and high performance of the proposed control method are validated by the experimental results sufficiently.
引用
收藏
页码:23901 / 23911
页数:11
相关论文
共 32 条
[1]   Force control of hybrid actuator using learning vector quantization neural network [J].
Ahn, KK ;
Nguyen, HTC .
JOURNAL OF MECHANICAL SCIENCE AND TECHNOLOGY, 2006, 20 (04) :447-454
[2]   Integrated adaptive robust control for multilateral teleoperation systems under arbitrary time delays [J].
Chen, Zheng ;
Pan, Ya-Jun ;
Gu, Jason .
INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2016, 26 (12) :2708-2728
[3]   μ-Synthesis-Based Adaptive Robust Control of Linear Motor Driven Stages With High-Frequency Dynamics: A Case Study [J].
Chen, Zheng ;
Yao, Bin ;
Wang, Qingfeng .
IEEE-ASME TRANSACTIONS ON MECHATRONICS, 2015, 20 (03) :1482-1490
[4]   Saturated RISE Feedback Control for a Class of Second-Order Nonlinear Systems [J].
Fischer, Nicholas ;
Kan, Zhen ;
Kamalapurkar, Rushikesh ;
Dixon, Warren E. .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2014, 59 (04) :1094-1099
[5]   REPETITIVE CONTROL-SYSTEM - A NEW TYPE SERVO SYSTEM FOR PERIODIC EXOGENOUS SIGNALS [J].
HARA, S ;
YAMAMOTO, Y ;
OMATA, T ;
NAKANO, M .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1988, 33 (07) :659-668
[6]   Decentralized Fixed-Order Piecewise Affine Dynamic Output Feedback Controller Design for Discrete-Time Nonlinear Large-Scale Systems [J].
Ji, Wenqiang ;
Wang, Anqing ;
Qiu, Jianbin .
IEEE ACCESS, 2017, 5 :1977-1989
[7]  
Jiao Z., 2004, Chin. J. Aeronauti, V17, P39, DOI [10.1016/S1000-9361(11)60201-X, DOI 10.1016/S1000-9361(11)60201-X]
[8]  
Kempf C., 1993, IEEE Control Systems Magazine, V13, P48, DOI 10.1109/37.248004
[9]  
Mercorelli P, 2014, IEEE ASME INT C ADV, P186, DOI 10.1109/AIM.2014.6878076
[10]   Asymptotic Tracking for Uncertain Dynamic Systems Via a Multilayer Neural Network Feedforward and RISE Feedback Control Structure [J].
Patre, Parac M. ;
MacKunis, William ;
Kaiser, Kent ;
Dixon, Warren E. .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2008, 53 (09) :2180-2185