无轴承异步电机最小二乘支持向量机逆解耦控制

Decoupling control of bearingless induction motor with least squares support vector machine inverse

为了实现无轴承异步电机径向悬浮力、转速和磁链的非线性动态解耦控制,提出了基于最小二乘支持向量机逆的解耦控制策略.在分析无轴承异步电机原系统可逆的基础上,首先采用最小二乘支持向量机逼近原系统逆模型,然后将逆模型串接于原系统之前构成伪线性复合系统,将无轴承异步电机线性化解耦成径向二自由度位移子系统、转速子系统以及磁链子系统,最后为了进一步提高整个控制系统性能,为伪线性复合系统设计了闭环控制器,并采用Matlab对控制方法解耦性能进行了仿真.仿真结果表明:该方法能够成功实现无轴承异步电机系统的非线性解耦控制,并且系统具有优良的鲁棒性和动、静态性能,克服了传统解析逆解耦控制方法过分依赖于系统模型的缺点.

In order to achieve nonlinear dynamic decoupling control of radial suspension force, speed and flux linkage, a decoupling control strategy was proposed based on least squares support vector machine inverse of bearingless induction motor. According to the reversibility analysis of original system, the inverse model of the bearingless induction motor was approximated by the least squares support vector machine and connected with the original system to construct pseudo-linear system. The pseudo-linear system was equivalent to two independent linear displacement subsystems of rotor speed subsystem and magne-tic flux linkage subsystem. To further improve the performance of whole control system, the closed-loop controller was designed for the pseudo-linear system. Decoupling control performance of the proposed method was simulated by Matlab. The simulation results show that the nonlinear decoupling control of the system is realized successfully with good robustness and dynamic and static performances, and the defects of conventional inverse system method with excessive depending on exact system model are overcome.