摘  要：采用灰色预测方法提取系统的行为数据，寻求系统运动规律，从而能按规律预测系统未来的运动趋势；并根据系统未来的运动趋势，确定相应的控制决策实现准确的预测，控制籍此解决常规模糊控制器在直接转矩控制过程中因电机模型参数不变及滞后所带来的超调量大、响应慢和不稳定性等问题。通过电机参数预测模型得出下一状态磁链、转矩和磁链位置角，经过模糊推理给出相应的最佳或次最佳控制方案。仿真结果表明采用灰色预测模糊控制方法的直接转矩控制系统克服了滞后效应对系统的影响，调节过程平稳，在动态响应、抗干扰能力和鲁棒性等方面均取得了良好的效果，其控制精度及动态品质均优于常规的模糊控制器。
关键词：灰色预测；模糊控制；直接转矩

AbstractGrey prediction control seeks system movement rule by system behavior data.It can predict system future movement trend by the movement rule to confirm relevant control decision-making which is used to actualize veracious prediction control.Its aim is to solve 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 input value of fuzzy controller:the torque，the stator flux and the angle are gained by grey prediction methods.At last the best control program is gained through fuzzy inference.The DTC based on DSP was applied in motor with inertia，delay，and so on.This method avoids the time delay response of the system.The process of adjust is steady,the system can get more satisfactory results of dynamic response，strong anti-interference and strong robustness.Experiment results show that the application of grey prediction fuzzy controller in DTC system has good performance and is more effective than traditional fuzzy controller.
Key Words: GM(1,1)；Fuzzy controller；Direct torque control