DocumentCode :
17131
Title :
Adaptive Robust Control for Fuzzy Mechanical Systems: Constraint-Following and Redundancy in Constraints
Author :
Qingmin Huang ; Ye-Hwa Chen ; Aiguo Cheng
Author_Institution :
State Key Lab. of Adv. Design & Manuf. for Vehicle Body, Hunan Univ., Changsha, China
Volume :
23
Issue :
4
fYear :
2015
fDate :
Aug. 2015
Firstpage :
1113
Lastpage :
1126
Abstract :
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.
Keywords :
adaptive control; fuzzy set theory; fuzzy systems; motion control; optimal control; performance index; redundancy; robust control; time-varying systems; uncertain systems; IF-THEN fuzzy rule; adaptive robust control; constraint redundancy; constraint-following; control design parameter; controlled system; deterministic performance; digging excavator; fuzzy mechanical systems; fuzzy property; fuzzy set; fuzzy-based performance index minimization; motion control; uncertain mechanical systems; Adaptive systems; Control design; Force; Mechanical systems; Robust control; Uncertainty; Adaptive robust control; constraint-following; fuzzy set theory; mechanical system; optimal design;
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/TFUZZ.2014.2346241
Filename :
6873266
Link To Document :
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