Auto-tuning adaptive control system using fuzzy inference
説明
A practical design method of a strongly stable system for adaptive control is proposed. When the system parameter changes greatly, a series compensator with unstable poles appears in an adaptive pole placement control system frequently, even if the closed-loop system is designed to be an optimal servo system. However, the appearance of an unstable series compensator in this control system is undesirable in terms of stability. A strongly stable adaptive control system is achieved, by adjusting automatically the weight of a performance index in the optimal control on the basis of a stability index. Fuzzy inference is effectively introduced into this adaptive control system in order to adjust the performance weight appropriately. In addition, numerical simulation is used to prove that the proposed method provides sufficient performance regarding both tuning and control.
収録刊行物
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- IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028)
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IEEE SMC'99 Conference Proceedings. 1999 IEEE International Conference on Systems, Man, and Cybernetics (Cat. No.99CH37028) 6 156-161, 2003-01-20
IEEE