Peak Observer Based Self-tuning of Type-2 Fuzzy PID Controllers

Abstract : Fuzzy PID (proportional-integral-derivative) controllers are commonly used as an alternative to the conventional PID controllers. In order to improve the control system performance of these controllers many self-tuning methods are already studied. It is mostly observed that the self-tuning mechanism should tune the scaling factors of the fuzzy controller to enhance the transient system performance. On the other hand, these studies only focus on the ordinary (Type-1) Fuzzy PID controllers. In this study, Type-2 Fuzzy PID controllers are studied and a peak observer based self-tuning method is proposed for these controllers. In order to show the benefit of the proposed approach, several Matlab simulations are performed where different type of fuzzy control structures are compared. The results obtained from the simulation studies clearly show the advantage of the proposed approach.
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Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos. 10th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2014, Rhodes, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-436, pp.487-497, 2014, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-662-44654-6_48〉
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Engin Yesil, Tufan Kumbasar, M. Dodurka, Ahmet Sakalli. Peak Observer Based Self-tuning of Type-2 Fuzzy PID Controllers. Lazaros Iliadis; Ilias Maglogiannis; Harris Papadopoulos. 10th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI), Sep 2014, Rhodes, Greece. Springer, IFIP Advances in Information and Communication Technology, AICT-436, pp.487-497, 2014, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-662-44654-6_48〉. 〈hal-01391350〉

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