基于最小二乘支持向量机的无轴承同步磁阻电机解耦控制

Decoupling control of bearingless synchronous reluctance motor based on least squares support vector machines

无轴承同步磁阻电机是一个复杂的多变量、强耦合非线性系统,实现其非线性动态解耦控制是无轴承同步磁阻电机稳定运行的前提.在推导其数学模型的基础上,采用最小二乘支持向量机的方法得到无轴承同步磁阻电机逆模型;根据逆系统基本原理,将复杂的原非线性多变量耦合系统解耦成伪线性系统;根据线性系统理论,设计了闭环控制器,并构建了系统仿真模型.仿真结果表明该方法实现了系统的动态解耦,并且具有良好的动、静态特性.

The bearingless synchronous reluctance motor is a complicated multivariate and strong coupled nonlinear system. Realizing decoupling control of the bearingless synchronous reluctance motor is a precondition of stable operation. Based on deducing mathematical model, the inverse model of the bearingless synchronous reluctance motor is given by using the method of least squares support vector machines（LS-SVM）. According to the basic principle of inverse system method, the complex nonlinear multivariable system is decoupled into pseudo-linear system. According to the linear control theory, the closed loop controllers are designed, and then simulation model is constructed. The simulation results show that the system realizes dynamic decoupled, and the system has good dynamic and static performance.