基于支持向量机的控制器参数优化方法

Toshiki Saito, Ryo Kikuchi, T. Atsumi
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引用次数: 1

摘要

在实际的工业过程中,由于控制系统的摄动,对其参数进行优化是很困难的。因此,控制系统的性能可能取决于设计人员的经验。为了解决这一问题,我们提出了一种基于支持向量机的控制器参数优化方法。采用该方法,可以在不需要设计人员丰富经验的情况下获得鲁棒控制器。实验结果表明,该方法能够有效地设计两轮倒立摆的鲁棒控制器参数。
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Optimization Method for Controller Parameters Using Support Vector Machine
In actual industrial processes, it is difficult to optimize parameters for a control system because of its perturbations. As a result, the performance of the control system may depend on a designer experience. To solve this problem, we have proposed a method to optimize the controller parameters with support vector machine. With the proposed method, we can obtain a robust controller without the need for designer's rich experience. Experimental results show that the proposed method enables us to design parameters for a robust controller in a two-wheeled inverted pendulum.
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