基于专家控制器的电动汽车感应电机弱磁区优化控制研究

由于感应电机驱动系统采用数字控制器和脉宽调制输出会伴随着数字延迟的问题,加之参数可能存在的扰动,使得传统的间接磁场定向控制方法在感应电机高速弱磁区的控制性能降低。针对此问题,提出了一种基于专家控制器和模糊推理机制的感应电机弱磁区优化控制策略。考虑到传统间接磁场定向控制中电流调节器在弱磁区若没有获得适合的电流参考指令,则可能会产生高频振荡乃至失稳。因此,在传统方法的基础上将转速闭环输出的电流参考先送入到专家控制器,专家控制器基于数据库和模糊推理,对电流参考进行修正,其中模糊推理机制基于简单的高斯函数逻辑实现。最后,构建了感应电机驱动试验平台,开展了电机在弱磁区的高速驱动试验,试验结果验证了新型控制策略的有效性。

Induction Motor Optimize Control in Field Weakening Region forElectric Vehicles Based on Expert Controller

The induction motor drive inverter adopts digital controller and pulsewidth modulation, caused the problem of digital delay, and with the parameter perturbation, reduced the control performance of the traditional indirect field oriented control for induction motor in the field weakening region. To solve this problem, an induction motor optimize controller in field weakening region for electric vehicles based on expert controller and fuzzy inference mechanism was proposed. Highly oscillatory or unstable response may occur if current regulators of the traditional indirect field oriented controller did not obtain proper current commands in the weak magnetic area. So the current reference of speed closedloop output into the first expert controller firstly, then the expert controller changed the current reference based on database and fuzzy inference mechanism, and the fuzzy inference mechanism was realized by the simple Gauss logic function. Finally, a experiment platform for induction motor drive was built, and the high speed motor driving test was carried out. The test results verified the effectiveness of the new control strategy.