基于遗传算法的双馈电机速度控制系统研究

Research on Speed Control System of Doubly-Fed Induction Motor Based on Genetic Algorithm

针对传统的双馈电机直接转矩控制系统低速时控制性能不佳的问题,对传统控制系统进行改进。将遗传算法应用于双馈电机直接转矩控制系统,在线优化PI调节器的参数,匹配控制系统在不同工作状态下的需求。仿真研究结果表明,该方法能有效地降低转矩脉动和磁链纹波,改善速度调节过程中的动态性能,扩大调速范围。

In the direct torque control system of traditional doubly fed induction machines,there exists the problem of large torque ripple at low speed,which affects the control performance of the system.Aiming at the problem of the traditional control system is improved,the genetic algorithm is applied to the direct torque control system of doubly fed motor,parameter optimization of PI controller online,matching control system in different working conditions demand.Simulation results show that the proposed method can effectively reduce the torque ripple and flux ripple,improve the dynamic performance during speed regulation,and enlarge the speed range.