2 Novel Approaches for Speed Control of DC Motor : Fuzzy Logic and Artificial Neural Network Techniques

The design of intelligent control systems has become an area of intense research interest. A promising direction in the design of intelligent systems involves the use of Fuzzy Logic Controller (FLC) and Artificial Neural controller (ANC) to discover the abilities of intelligent control systems in utilizing experience via rule-based knowledge. This paper presents the FLC and ANC. Both controllers are designed, implemented and compared in the MATLAB/Simulink model to examine the performance of DC motor with different loads.