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Fault-tolerant output-constrained control of unknown Euler-Lagrange systems with prescribed tracking accuracy
被引:149
作者:
Zhang, Jin-Xi
[1
]
Yang, Guang-Hong
[1
,2
]
机构:
[1] Northeastern Univ, Coll Informat Sci & Engn, Shenyang 110819, Liaoning, Peoples R China
[2] Northeastern Univ, State Key Lab Synthet Automat Proc Ind, Shenyang 110819, Liaoning, Peoples R China
来源:
基金:
中国国家自然科学基金;
关键词:
Nonlinear systems;
Multi-input multi-output;
Actuator faults;
Output constraints;
Prescribed accuracy;
BARRIER LYAPUNOV FUNCTIONS;
ACTUATOR FAILURE COMPENSATION;
UNCERTAIN NONLINEAR-SYSTEMS;
ITERATIVE LEARNING CONTROL;
FOLLOWER FORMATION CONTROL;
ADAPTIVE-CONTROL;
SURFACE VESSELS;
CONTROL SCHEME;
FEEDBACK;
PERFORMANCE;
D O I:
10.1016/j.automatica.2019.108606
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 paper explores the output-constrained tracking control problem for unknown Euler-Lagrange systems subject to actuator faults, in the case where the reference trajectory is unknown in advance. The presence of actuator faults may lead to the loss of strong controllability of the system assumed in the existing literature on robust control of multi-input multi-output nonlinear systems. The lack of a priori knowledge on the reference trajectory renders the current constraint-handling techniques to achieve prescribed tracking accuracy infeasible. To conquer the above obstacles, a novel fault compensation scheme is designed in this paper, and a new-type error boundary is introduced to the control design. It is proved that the proposed approach guarantees output tracking with prescribed accuracy and constraint satisfactions simultaneously, even if actuator faults occur. A comparative simulation on a robot manipulator is conducted to further illustrate the established theoretical findings. (C) 2019 Elsevier Ltd. All rights reserved.
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页数:9
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