Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/54697
Title: A PD type fuzzy logic learning control approach for repeatable tracking control tasks
Authors: Xu, J.-X. 
Xu, J. 
Can, W.-J.
Keywords: Fuzzy logic control
Learning control
PD control
Repetitive tracking tasks
Issue Date: 2001
Source: Xu, J.-X.,Xu, J.,Can, W.-J. (2001). A PD type fuzzy logic learning control approach for repeatable tracking control tasks. Zidonghua Xuebao/Acta Automatica Sinica 27 (4) : 434-446. ScholarBank@NUS Repository.
Abstract: In this paper, we consider repeatable tracking control tasks using a new control approach - PD type Fuzzy Logic Learning Control (FLLC). FLLC integrates two main control strategies: Fuzzy Logic Control as the basic control part and Learning Control as the refinement part. The new FLLC is constructed by simply adding an iterative learning mechanism to a fuzzy PD controller. The incorporation of the learning function into fuzzy PD controllers ensures exact tracking because it completely nullifies the effects of reference signal and periodic disturbances on the tracking error. Through rigorous proof based on energy function and functional analysis, we show that the proposed FLLC system achieves the following novel properties: (1) the tracking error sequence converges uniformly to zero; (2) learning control sequence converges to the desired control profile almost everywhere, Simulation is presented to show the validity of the proposed control method.
Source Title: Zidonghua Xuebao/Acta Automatica Sinica
URI: http://scholarbank.nus.edu.sg/handle/10635/54697
ISSN: 02544156
Appears in Collections:Staff Publications

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