异步电机的自适应节能控制研究

Adaptive Energy-saving Control of Induction Motor

针对异步电机轻载运行时效率低下的问题,提出一种自适应节能控制方法。设计一个模糊控制器,通过对转子磁链进行在线调节来搜索使异步电机输入功率最小的最优运行点,然后使用不同工况下的最优运行点信息来训练神经网络,完成训练后的神经网络可以用来预测任意工况下的最优运行点,从而使电机自适应地运行在较低能耗状态。仿真结果证明所提方法的有效性。

To solve the problem of low operating efficiency of induction motor under light load,this paper proposesd an adaptive energy-saving control method,in which a fuzzy controller was designed to search for the optimal operating point with minimizing input power of the motor via rotor flux on-line adjustment,then the optimal points under different load conditions were used to train neural network,which could predict optimal operating points under any load conditions.A simulation example is given to prove the effectiveness of the proposed method.