engleski

Self-Tuning Controller Based On Process Fuzzy Model

A self-tuning controller based on the Takagi-Sugeno fuzzy model of the process is proposed. The fuzzy model is represented as a linear time-varying model and the pole-placement design procedure modified for the time-varying systems is applied to obtain the desired closed-loop poles. The stability is proven for a class of SISO systems. Because of its simplicity, the proposed method is suitable for the on-line controller design in the adaptive control systems. As an example, the proposed method is applied in adaptive control of a laboratory liquid level rig. The obtained results are much better than the results obtained with the self-tuning controller based on linear process model.

Fuzzy control; fuzzy model; adaptive control; pole-placement design

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