Application of combining prediction fuzzy controller based on genetic algorithm in DTC

Application of combining prediction fuzzy controller based on genetic algorithm (GA) in the direct torque control is discussed in this paper. Its aim is to solved the problems which is caused by the steadiness parameter and the time delay response in the direct torque control especially in the low speed range control such as big overshoot,slow speed corresponding, unsteady and so on. The prediction of the torque, the stator flux and the angle arc gained by several different prediction methods. A new value is produced through synthesize of every prediction value multiply its coefficient. For the sake of obtaining optimization prediction and online adjusting performance. the coefficient of combining prediction is optimized by GA. at last the best control program is gained through fuzzy inference. This method avoids the time delay response of the system. Experimental results show that the combining prediction fuzzy controller based on GA has good performance and is more effective than traditional fuzzy controller. The system can get more satisfactory results of dynamic response. strong anti-interference and strong robustness.