基于支持向量机的发电机组逆模型控制

针对同步发电机组这个非线性、工况复杂的多变量控制对象,研究了一种基于支持向量机的发电机组逆模型控制方法.根据采集到的输入输出样本数据,首先由支持向量机网络来辨识发电机组的逆模型,以此作为逆控制器没计的基础.随后.分析了2种不同的逆模型控制器,即直接逆模型控制和具有线性补偿的逆模型控制.仿真研究表明,支持向量机逆模型控制器具有优良性能,而且线性补偿逆模型控制比直接逆模型控制的性能更优,鲁棒稳定性更好.

SVM based inverse model control strategies for synchronous generator

Synchronous generator is a nonlinear, fast acting, multiple-input multiple-output device operating over a wide range of varying conditions. This paper investigated the basis for the inverse model control strategies for syn-chronous generator based on support vector machines (SVM). Firstly, SVM was used to identify the inverse model of the plant from the input-output data, and this inverse model was served as the basis for the inverse controller design.Then two different inverse model control schemes namely the direct inverse control and the linear-compensated in-verse control were analyzed together. Simulations show that the proposed inverse controller has good performance while linear-compensated inverse control has better capability and stability than direct inverse control.