DocumentCode :
3600945
Title :
Adaptive Inverse Control of Cable-Driven Parallel System Based on Type-2 Fuzzy Logic Systems
Author :
Tiechao Wang ; Shaocheng Tong ; Jianqiang Yi ; Hongyi Li
Author_Institution :
Coll. of Electr. Eng., Liaoning Univ. of Technol., Jinzhou, China
Volume :
23
Issue :
5
fYear :
2015
Firstpage :
1803
Lastpage :
1816
Abstract :
This paper is concerned with the problem of type-2 fuzzy adaptive inverse control for a cable-driven parallel system. Based on the heuristics and prior knowledge of the system, the system is divided into six subsystems. The proposed control scheme for each subsystem contains a forward model and a fuzzy adaptive inverse controller (FAIC), which are expressed by an interval type-2 fuzzy nonlinear autoregressive exogenous (NARX) model, respectively. To construct the antecedents of the interval type-2 fuzzy NARX forward models and FAICs, the monotonic property of the fuzzy NARX model is first proved, and then, their antecedent parameters can be determined by this property. Furthermore, the consequent parameters of the forward models are computed offline via a constrained least squares algorithm, and the consequent parameters of the FAIC are adjusted online via a recursive least squares algorithm. Experiment results are provided to show that the proposed type-2 fuzzy control scheme can realize the control objectives and achieve a good control performance.
Keywords :
adaptive control; autoregressive processes; fuzzy control; fuzzy set theory; inverse problems; least squares approximations; FAIC; antecedent parameter; cable-driven parallel system; constrained least squares algorithm; control scheme; interval type-2 fuzzy NARX forward model; interval type-2 fuzzy nonlinear autoregressive exogenous model; monotonic property; recursive least squares algorithm; type-2 fuzzy adaptive inverse control; type-2 fuzzy logic systems; Actuators; Adaptation models; Adaptive systems; Couplings; Fuzzy logic; Payloads; Sensors; Adaptive inverse control; Cable-driven parallel system; adaptive inverse control; cable-driven parallel system; fuzzy NARX model; fuzzy nonlinear autoregressive exogenous (NARX) model; type-2 fuzzy logic systems;
fLanguage :
English
Journal_Title :
Fuzzy Systems, IEEE Transactions on
Publisher :
ieee
ISSN :
1063-6706
Type :
jour
DOI :
10.1109/TFUZZ.2014.2379284
Filename :
6980451
Link To Document :
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