Neural network control with fuzzy logic compensation

• Autorzy: Li X. Z. , Bajić V. B. , Sha D. H. , Wang H. Y.
• Języki publikacji: EN

Abstrakty

EN

This paper presents a new AI based control strategy. A dynamic neural network is used to identify the plant on-line. The control signal is then calculated iteratively according to the responses of a reference model and the identified neural model of the process. A fuzzy logic block with four very simple rules is added to the loop to improve the overall loop properties. This synergetic AI control paradigm is tested via simulation. The results demonstrate that the proposed control strategy provides better disturbance rejection and tracking properties of the control loop than those achieved by an optimally tuned PID controller.

Słowa kluczowe

EN

dynamic neural network; fuzzy logic; control loop

PL

dynamiczne sieci neuronowe; logika rozmyta; pętla sterowania

• Wydawca: Wydawnictwo Politechniki Łódzkiej
• Czasopismo: Journal of Applied Computer Science
• Rocznik: 2000
• Tom: Vol. 8, nr 2
• Strony: 31--44
• Opis fizyczny: Bibliogr. 27 poz.

Twórcy

autor

Li X. Z.

• Centre for Engineering Research, Technikon Natal, P.O. Box 4000, Durban, South Africa

autor

Bajić V. B.

• Centre for Engineering Research, Technikon Natal, P.O. Box 4000, Durban, South Africa

autor

Sha D. H.

• Centre for Engineering Research, Technikon Natal, P.O. Box 4000, Durban, South Africa

autor

Wang H. Y.

• Centre for Engineering Research, Technikon Natal, P.O. Box 4000, Durban, South Africa

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