Design and Simulation of Neuro Fuzzy Controller for Speed Control of a Separately Excited dc Motor
DC machines play an important role in industries and in our daily life. DC machines applications involve reconsideration of their operating characteristics, together with their economic and technical evolution as compared with other competing energy conversion devices. The outstanding advantage of DC machines is that they offer easily controllable characteristics. Their main disadvantage is high initial investment. In spite of this DC machines still hold a strong competitive position for industrial applications because of their attractive features. Large DC motors are used in machine tools, printing press, conveyors, pumps, hoists cranes, paper mills and so forth. Small DC machines (in fractional horse power rating) are used primarily as control devices such as tacho generators for speed sensing and servo motors for positioning and tracking. DC motors still dominate fractional motors used in transit cars and locomotives as torque speed characteristics of DC motors can be varied over a wide range while retaining high efficiency. DC motors posses excellent torque speed characteristics and offer a wide range of speed control. Though efforts are being made to obtain wide range speed control with AC motors, yet the versatility and flexibility of DC motor can't be matched by AC motors. Thus, the demand for DC motors would continue undiminished even in future. With the advancement in technology artificial intelligence (AI) tools such expert system, Fuzzy logic, Neural Network and Neuro Fuzzy are being used for design of controllers. In present work we design Neuro Fuzzy controller to control the speed of separately excited DC motor.