Internal model control for hysteretic nonlinear systems based on support vector regression

Wenguang Zhang, J. Mao, Yanhua Ma
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Abstract

Aim at the hysteretic nonlinearity characteristic of the giant magnetostrictive actuator in control, an internal model control method based on support vector regression is presented in this paper. Its models are built by support vector regression using the input and output data of the actuator and the internal model control is achieved. The simulation results show the method in this paper has better control precision.
基于支持向量回归的滞回非线性系统内模控制
针对超磁致伸缩作动器在控制过程中的滞后非线性特性,提出了一种基于支持向量回归的内模控制方法。利用作动器的输入输出数据,通过支持向量回归建立模型,实现内模控制。仿真结果表明,该方法具有较好的控制精度。
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