【摘要】 采用传统PI控制器对双星感应电机(DTC-DSIM)进行直接转矩控制性能并不理想，可能造成转矩和磁通量波动大，对参数变化敏感等。在经典驱动中能够克服上述缺点的控制策略之一就是将超螺旋算法(STA)与模糊逻辑控制相结合的模糊二阶滑模控制方法(FSOSMC)。未来实现最优控制效果，采用遗传算法(GA)对FSOSMC参数进行优化。将本文中的G-FSOSMC算法与G-SOSMC、G-PI和BBOFSOSMC进行性能比较，结果表明，G-FSOSMC能有效地减小转矩和磁通量波动，并抑制电机颤振；且参数的不确定性也不影响系统性能。更多还原

【Abstract】 The direct torque control of the dual star induction motor(DTC-DSIM) using conventional PI controllers is characterized by unsatisfactory performance, such as high ripples of torque and flux, and sensitivity to parametric variations. Among the most evoked control strategies adopted in this field to overcome these drawbacks presented in classical drive, it is worth mentioning the use of the second order sliding mode control(SOSMC) based on the super twisting algorithm(STA) combined with the fuzzy logic control(FSOSMC). In order to realize the optimal control performance, the FSOSMC parameters are adjusted using an optimization algorithm based on the genetic algorithm(GA). The performances of the envisaged control scheme, called G-FSOSMC, are investigated against G-SOSMC, G-PI and BBO-FSOSMC algorithms. The proposed controller scheme is efficient in reducing the torque and flux ripples, and successfully suppresses chattering. The effects of parametric uncertainties do not affect system performance.更多还原