Neuro-fuzzy Based Control Loop Tuner
نویسنده
چکیده
An alternative approach for intelligent tuning of a control loop will be presented in this paper. The objective is to design an algorithm which will tune the controller employing a neuro-fuzzy based algorithm. Structure and design method based on this approach will be explored, which include an adaptive network employed as building block, the backpropagation gradient method and least square estimator as a hybrid learning rule, and its integration with tuning algorithm. The effectiveness and the performance of the proposed intelligent tuning method will be demonstrated by on-line controller tuning of a process miniplant. Experimental results show some potential benefits on applying the proposed technique using the real-world process plant. Copyright ©2002 IFAC
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