Self-tuning PI Controllers via Fuzzy Cognitive Maps

Abstract : In this study, a novel self-tuning method based on fuzzy cognitive maps (FCMs) for PI controllers is proposed. The proposed FCM mechanism works in an online manner and is activated when the set-point (reference) value of the closed loop control system changes. Then, FCM tuning mechanism changes the parameters of PI controller according to systems’ current and desired new reference value to improve the transient and steady state performance of the systems. The effectiveness of the proposed FCM based self-tuning method is shown via simulations on a nonlinear system. The results show that the proposed self-tuning methods performances are satisfactory.
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Communication dans un congrès
Harris Papadopoulos; Andreas S. Andreou; Lazaros Iliadis; Ilias Maglogiannis. 9th Artificial Intelligence Applications and Innovations (AIAI), Sep 2013, Paphos, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-412, pp.567-576, 2013, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-41142-7_57〉
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Engin Yesil, M. Dodurka, Ahmet Sakalli, Cihan Ozturk, Cagri Guzay. Self-tuning PI Controllers via Fuzzy Cognitive Maps. Harris Papadopoulos; Andreas S. Andreou; Lazaros Iliadis; Ilias Maglogiannis. 9th Artificial Intelligence Applications and Innovations (AIAI), Sep 2013, Paphos, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-412, pp.567-576, 2013, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-642-41142-7_57〉. 〈hal-01459648〉

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