عنوان	Designing a FFOPID controller based on genetic algorithm for speed control of induction motor drive system
نوع پژوهش	مقاله ارائه شده کنفرانسی
کلیدواژه‌ها	Indirect vector control, FFOPID, Genetic algorithm, Induction motor, Fuzzy PI
چکیده	In this paper, an indirect vector control is presented for a three-phase induction motor drive system. Fuzzy fractional order PID controller has a robust and simple structure and a precise induction motor model is not needed for its design. Genetic algorithm is used to determine the parameters of fuzzy fractional order PID controller. In order to investigate the performance of the proposed controller, simulations are carried out with the fuzzy PI controller in several scenarios, and the results show the suitable performance of the proposed controller. Simulations are performed using the MATLAB software.
پژوهشگران	فرهاد امیری (نفر دوم)