基于支持向量机的逆变器控制策略的研究

Research on Control Strategy for Inverter Based on Support Vector Machine

针对逆变器系统的本身特点,提出一种基于最小二乘支持向量机的前馈学习控制策略,该控制结构由前馈控制和反馈控制两部分组成,在该控制算法中,利用最优控制理论来整定PID控制器的参数,并采用最小二乘支持向量机作为前馈学习控制系统中的函数逼近器来建模逆变器的逆动态,仿真实验表明所设计的控制策略有效地提高了逆变器的抗负载干扰的性能。

For the property of inverter system, a learning feed-forward control law is proposed based on least square support vector machine. The control scheme consists of feedback control and feed-forward control. In this control algorithm, optimal control theory is used to tune PID parameters, and least square support vector machine is used as a function approximator to model inverse dynamics of inverter. Simulation results show that the designed control law can effectively improve the anti-disturbance of inverter system.