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Abstract
In industrial applications, speed control is required over a wide range to follow accurately a certain command trajectory and to recover quickly from sudden load applications. The precise control of a DC motor is necessary when the dynamic responses greatly affect the quality of the product. The design of conventional control drives therefore should take another dimension due to the restricted requirements of the modern industrial applications. Improving the performance of such drives has become the principle aim of many researchers. Artificial Intelligence(AI) fuzzy logic controller will be implemented to solve the undesired undershoot that get the process in special steel rolling mill out of control. Comparing the performance of DC motor, controlled by PI speed controller, PI speed with PI current controller and fuzzy speed controller, will be done and these systems will be emulated practically.As Fuzzy Logic control has steady state error due to load variation, so., two methods will be implemented to improve the fuzzy controller performance to allow it to solve the steady state problem. These methods are:
1- Using Fuzzy and PI current controller
2- Using a Hybrid Fuzzy-PI controller