无刷直流电机直接转矩自适应模糊控制器的设计

Direct Torque Control of Brushless DC Motor based on Adaptive Fuzzy Controller

针对传统的直接转矩控制中磁链和转矩脉动较大等问题,提出了一种基于遗传算法的无刷直流电机直接转矩自适应模糊控制器的设计方案。它采用模糊控制器来取代传统的转矩和磁链滞环调节器,并通过遗传算法对模糊控制器输入变量的隶属度函数进行优化,使控制系统具有更好的动态和稳态性能。仿真结果表明该方案能有效减小磁链和转矩脉动,具有控制精度高、动态性能好、适应性强等优点,显著的改善了系统的控制性能。

A design method of adaptive fuzzy logic controllers based on genetic algorithm was proposed to solve the problems of large flux linkage and torque ripple in the traditional direct torque control, and the fuzzy controllers can be applied to the direct torque control of bnlshless DC motor. The fuzzy controller was used in place of torque and flux relay, and the membership function parameters of all input variables were optimized by genetic algorithm to enhance the dynamic and steady state performance of the control system. The simulation results show that the proposed method can effectively reduce the flux linkage and torque ripple and improve the control performance, excellent flexibility and adaptability as well as high precision are ob- tained by the proposed strategy.