DocumentCode
1715885
Title
A VSS-type FCMAC controller
Author
Chen, Jen-Yang
Author_Institution
Dept. of Electron. Eng., China Inst. of Technol., Taipei, Taiwan
Volume
2
fYear
2001
Firstpage
872
Abstract
A new design methodology for the Cerebella Model Articulation Controller (CMAC) with the theory of variable structure system (VSS) is proposed in this paper. Variable structure system, also named as sliding mode control, is a powerful design method for controlling a nonlinear system where exists uncertainty. Generally speaking, the CMAC is first trained from an existed controller; then the CMAC can be used to instead of the original controller for achieving a fast operating system performance. Moreover, it can be easily realized through FPGA and operated in the requirement of real-time control cases. However, the overall performance of control system depends on the trained CMAC; usually, it is not easy to yield the same performance as the original controller. Therefore, how to improve the performance without learning process maybe is a good idea in designing the CMAC. The determination of the CMAC weights via the control scheme of VSS provides a solution for designing such controller. In addition, a constructed updating rule mechanism is used to enhance the characteristic of CMAC. Finally, a simulation example of controlling a nonlinear system is employed to illustrate the performance and applicability of the proposed control scheme.
Keywords
cerebellar model arithmetic computers; control system synthesis; fuzzy control; fuzzy neural nets; neurocontrollers; variable structure systems; CMAC; CMAC weight determination; FPGA; VSC; VSS-type FCMAC controller; cerebella model articulation controller; cerebellar model articulation controller; constructed updating rule mechanism; controller design methodology; nonlinear system; real-time control; sliding mode control; uncertainty; variable structure system; Control systems; Design methodology; Field programmable gate arrays; Nonlinear control systems; Nonlinear systems; Operating systems; Power system modeling; Sliding mode control; Uncertainty; Variable structure systems;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2001. The 10th IEEE International Conference on
Print_ISBN
0-7803-7293-X
Type
conf
DOI
10.1109/FUZZ.2001.1009094
Filename
1009094
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