تحسين والتحكم في استجابة السرعة لمحرك ذو المغناطيس الدائم المتزامن باستخدام وحدة تحكم ضبابية – تناسبية تكاملية

Abstract

High-speed and high-performance electric motors are designed to reach a high level of demand control. The permanent magnet synchronous motors (PMSMs) drive has a non-linear model that is not easy to deal with using traditional control methods when controlling the three phase motors because of their nature, (intricate highly non-linear model). Therefore, neural networks controllers compared with fuzzy logic controllers (FLCs) are getting more attention among researchers, as they can be used for such systems. The neural networks controller relies on training of this mathematical model, and the fuzzy controller also relies on experience. The performance of these two controllers were compared to each other in terms of output response. As all the real systems exhibit non-linear behavior, conventional PI (Proportional-Integral) controllers are unable to provide good and acceptable results. For this reason, when designing intelligent control systems, the corresponding model for simulation should reflect all characteristics of the real system to be controlled. The basic idea of ​​this paper is to apply the fuzzy-PI controller on PMSMs drive and compare the obtained results with the traditional PI. Also, one intelligent controller, which is the NN (Neural Network) controller, is applied and its performance is simulated and studied. MATLAB/SIMULINK environment is used for design, implementation and testing. Therefore, the speed and torque of the PMSMs drive can be controlled satisfactorily. Finally, simulation results have shown decent results in the improvement of the system behavior.