عنوان	A New General Type-2 Fuzzy Predictive Scheme for PID Tuning
نوع پژوهش	مقاله چاپ‌شده در مجلات علمی
کلیدواژه‌ها	fuzzy systems; ,machine learning;, model predictive control; ,proportional-integral-derivative controller; ,continuous stirred tank reactor; ,self-tuning
چکیده	The proportional-integral-derivative controller is widely used in various industrial applications. But, in many noisy problems the strong methods are needed to optimize the proportional-integral-derivative parameters. In this paper, a novel method is introduced for adjusting the proportional-integral-derivative parameters through the model predictive control and generalized type-2 fuzzy-logic systems. The rules of suggested fuzzy system are online adjusted and the parameters of proportional-integral-derivative are tuned based on the fuzzy model such that a cost function to be minimized. The designed controller is applied on continuous stirred tank reactor and the performance is compared with other traditional approaches. The main advantages are that the accuracy is improved by online modeling and optimization and a predictive scheme is added to the conventional proportional-integral-derivative controller.
پژوهشگران	جعفر طاووسی (نفر اول)، Mohammadamin Shirkhani (نفر دوم)، Ali Abdali (نفر سوم)، Ardashir Mohammadzadeh (نفر چهارم)، Mostafa Nazari (نفر پنجم)، Saleh Mobayen (نفر ششم به بعد)، Jihad H. Asad (نفر ششم به بعد)، Andrzej Bartoszewicz (نفر ششم به بعد)