Induction motor drive using fuzzy logic

Variable speed drives are growing and varying. Drives expanse depend on progress in different part of science like power system, microelectronic, control methods, and so on. Artificial intelligent contains hard computation and soft computation. Artificial intelligent has found high application in most nonlinear systems same as motors drive. Because artificial intelligent techniques can use as controller for any system without requirement to system mathematical model, it has been used in electrical drive control. With this manner, efficiency and reliability of drives increase and volume, weight and cost of them decrease. Due to the improved operating characteristics they give to the equipment control, electronic motor soft starters are increasingly widely applied. Escalators, pumps, elevators and conveyor belts all operate more effectively if they are soft started. However, it is not simply the ergonomics of an airport, process plant or shopping mall that are improved by soft starters. A major factor in the growth in popularity of soft starters is the reduced wear and tear that they place on motors and their associated drive systems. In turn, this reduces maintenance, conserves energy and plays a significant part in improving plant performance and operating costs.