Unknown input observer-based robust adaptive funnel motion control for nonlinear servomechanisms

被引:54
作者
Wang, Shubo [1 ]
Na, Jing [2 ]
Ren, Xuemei [3 ]
Yu, Haisheng [1 ]
Yu, Jinpeng [1 ]
机构
[1] Qingdao Univ, Sch Automat, Qingdao 266071, Peoples R China
[2] Kunming Univ Sci & Technol, Fac Mech & Elect Engn, Kunming, Yunnan, Peoples R China
[3] Beijing Inst Technol, Sch Automat, Beijing, Peoples R China
基金
中国国家自然科学基金;
关键词
adaptive control; funnel control; servomechanisms; sliding mode control (SMC); unknown input observer (UIO); PRESCRIBED PERFORMANCE TRACKING; DISTURBANCE OBSERVER; NEURAL-NETWORKS; FAULT-DETECTION; CONTROL DESIGN; SPEED CONTROL; SYSTEMS; STABILIZATION;
D O I
10.1002/rnc.4368
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, an unknown input observer is proposed for servomechanisms with unknown dynamics (eg, nonlinear friction, parameter uncertainties, and external disturbance). An unknown input observer is developed by introducing auxiliary filtered variables in terms of first-order low-pass filters, where only one constant (filter parameter) needs to be tuned. A modified funnel variable is developed by using the tracking error to replace the scaling factor to improve the transient and steady-state performance of the control systems. Then, a sliding mode surface with the new transformed error is defined and used to design a funnel nonsingular terminal sliding mode controller to achieve finite-time convergence. In addition, the proposed funnel nonsingular terminal sliding mode controller method avoids the singularity problem in the conventional sliding mode control via modifying the terminal sliding manifold. Finally, experimental results are given to illustrate the effectiveness of the suggested control scheme.
引用
收藏
页码:6163 / 6179
页数:17
相关论文
共 63 条
[1]   Immersion and invariance: A new tool for stabilization and adaptive control of nonlinear systems [J].
Astolfi, A ;
Ortega, R .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2003, 48 (04) :590-606
[2]   Robust Adaptive Control of Feedback Linearizable MIMO Nonlinear Systems With Prescribed Performance [J].
Bechlioulis, Charalampos P. ;
Rovithakis, George A. .
IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 2008, 53 (09) :2090-2099
[3]   Design of unknown input observers and robust fault detection filters [J].
Chen, J ;
Patton, RJ ;
Zhang, HY .
INTERNATIONAL JOURNAL OF CONTROL, 1996, 63 (01) :85-105
[4]   Adaptive Neural Output Feedback Control of Uncertain Nonlinear Systems With Unknown Hysteresis Using Disturbance Observer [J].
Chen, Mou ;
Ge, Shuzhi Sam .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2015, 62 (12) :7706-7716
[5]   Adaptive Nonsingular Fixed-Time Attitude Stabilization of Uncertain Spacecraft [J].
Chen, Qiang ;
Xie, Shuzong ;
Sun, Mingxuan ;
He, Xiongxiong .
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS, 2018, 54 (06) :2937-2950
[6]   Adaptive echo state network control for a class of pure-feedback systems with input and output constraints [J].
Chen, Qiang ;
Shi, Linlin ;
Na, Jing ;
Ren, Xuemei ;
Nan, Yurong .
NEUROCOMPUTING, 2018, 275 :1370-1382
[7]   Adaptive robust finite-time neural control of uncertain PMSM servo system with nonlinear dead zone [J].
Chen, Qiang ;
Ren, Xuemei ;
Na, Jing ;
Zheng, Dongdong .
NEURAL COMPUTING & APPLICATIONS, 2017, 28 (12) :3725-3736
[8]   Disturbance-Observer-Based Control and Related Methods-An Overview [J].
Chen, Wen-Hua ;
Yang, Jun ;
Guo, Lei ;
Li, Shihua .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2016, 63 (02) :1083-1095
[9]   A nonlinear disturbance observer for robotic manipulators [J].
Chen, WH ;
Ballance, DJ ;
Gawthrop, PJ ;
O'Reilly, J .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2000, 47 (04) :932-938
[10]   Extended State Observer-Based Integral Sliding Mode Control for an Underwater Robot With Unknown Disturbances and Uncertain Nonlinearities [J].
Cui, Rongxin ;
Chen, Lepeng ;
Yang, Chenguang ;
Chen, Mou .
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2017, 64 (08) :6785-6795