磁悬浮开关磁阻电机的支持向量机逆全解耦控制

针对磁悬浮开关磁阻电机( BSRM)运行过程中容易出现磁饱和现象、并且转矩和径向两自由度悬浮力之间存在严重的非线性强耦合影响,数学模型建立以及解耦控制难度大的问题,新建了考虑磁饱和效应的数学模型.提出了一种基于最小二乘支持向量机( LS-SVM)的逆模型构建以及解耦控制方法,实现了径向两自由度悬浮力和转矩的全解耦控制,并且利用dSPACE系统进行了闭环解耦控制系统的运行试验,以验证模型良好的解耦效果以及对参数变化的较强鲁棒性.结果表明,该方法融合了LS-SVM的非线性逼近能力与逆系统方法的解耦线性化特点,具有较强的自适应性和鲁棒性,可以克服以基于无磁饱和假设的各种数学模型为基础的解耦控制方法不适用于BSRM磁饱和工况的缺陷.

Full decoupling control of bearingless switched reluctance motor based on support vector machine inverse system

In view of the magnetic saturation,non-linearity and coupling,it was very difficult to establish mathematic model and realize decoupling for bearingless switched reluctance motor(BSRM). Based on least squares support vector machine(LS-SVM), a novel mathematic model involving magnetic saturation was proposed to establish inverse system to decouple radial suspending forces and torque.The closed-loop decoupling control experiments were conducted on dSPACE platform to verify the decoupling ability and the robustness with time-variant parameters.The results show that the proposed method has advantages of both nonlinear approximation ability of LS-SVM and decoupling linearization character of inverse system method.The constructed LS-SVM inverse system decoupling controller has strong auto-adaptive perfor-mance and robustness.The unsuitability for magnetic-saturated condition of existing models and corresponding decoupling methods which are based on non-saturation hypothesis can be solved.