Adaptive Robust Control for Fuzzy Mechanical Systems: Constraint-Following and Redundancy in Constraints

被引:37
|
作者
Huang, Qingmin [1 ]
Chen, Ye-Hwa [2 ]
Cheng, Aiguo [1 ,3 ]
机构
[1] Hunan Univ, State Key Lab Adv Design & Mfg Vehicle Body, Changsha 410082, Hunan, Peoples R China
[2] Georgia Inst Technol, George W Woodruff Sch Mech Engn, Atlanta, GA 30332 USA
[3] Hunan Univ, Coll Mech & Vehicle Engn, Changsha 410082, Hunan, Peoples R China
关键词
Adaptive robust control; constraint-following; fuzzy set theory; mechanical system; optimal design; UNCERTAIN SYSTEMS; IDENTIFICATION; MANIPULATORS; DYNAMICS; DESIGN;
D O I
10.1109/TFUZZ.2014.2346241
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Motion control for uncertain mechanical systems is considered. Emphasis is on constraint following, while the constraint may be redundant. The uncertainty in the system, which is (possibly) fast time varying, is bounded. The bound is unknown but is assumed to be within a prescribed fuzzy set. An adaptive robust control is proposed based on the fuzzy property of the uncertainty. Both the mechanical system and the control are deterministic and, hence, not IF-THEN fuzzy rule based. The performance of the resulting controlled system is twofold. First, some deterministic performance is guaranteed, regardless of the value of the uncertainty. Second, the minimization of a fuzzy-based performance index is guaranteed based on an optimal choice of a control design parameter. The effectiveness of the design procedure is illustrated by the simulation control of a digging excavator.
引用
收藏
页码:1113 / 1126
页数:14
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