سال انتشار: ۱۳۹۱

محل انتشار: بیستمین کنفرانس سالانه مهندسی مکانیک

تعداد صفحات: ۴

نویسنده(ها):

Vahid Majdabadi Farahani – Mechanics Engineering Master of Science
Maryam Hanif – Mechanics Engineering Master of Science
Ali Jamali – Mechanics Engineering PHD, Guilan University/Mechanics Department;
Nader Nariman-zadeh –

چکیده:

In this paper Model Predictive Control (MPC) is used for optimal selection of PID controller gains. In conventional tuning methods a history of response error of the system under control in the passed time is measured and used to adjust PID parameters in order to improve performance of the system in proceeding time. But model predictive control obviates this characteristic of classical PID. In fact MPC tries to tune the controllerby predicting system’s behavior in some time steps ahead. In this way PID parameters are adjusted before any real error occurs in the system response. The whole approach which also uses a GMDH-type neural network modeling is an on-line method of tuning PID controllers. Results mentioned at the end obviously declare that the proposed method surpasses conventional tuning methods for PID controller