非线性系统的智能数字再设计PAM模糊控制器

Ho Jae Lee, Y. Joo, Jin Bae Park, L. Shieh
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引用次数: 7

摘要

针对非线性系统,开发了一种智能的数字重新设计的PAM模糊控制器。采用Takagi-Sugeno (TS)模糊模型对非线性系统进行建模,并基于扩展的并行-分布式补偿方法设计了基于连续时间模糊模型的控制器。数字控制器是由现有的模拟控制器确定的。该方法为连续时间非线性系统的数字控制提供了一种准确有效的方法,并能通过预先确定的基于模糊模型的连续时间TS控制器有效地实现数字控制器。将该方法应用于倒立摆的平衡问题,验证了该方法的有效性和可行性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intelligent digitally re-designed PAM fuzzy controller for nonlinear systems
We develop an intelligent digitally re-designed PAM fuzzy controller for nonlinear systems. Takagi-Sugeno (TS) fuzzy model is used to model the nonlinear systems and a continuous-time fuzzy-model-based controller is designed based on an extended parallel-distributed-compensation method. The digital controllers are determined from existing analogue controllers. The proposed method provides an accurate and effective method for digital control of continuous-time nonlinear systems and enables one to efficiently implement a digital controller via pre-determined continuous-time TS fuzzy-model-based controller. We have applied the proposed method to the balancing problem of the inverted pendulum to show the effectiveness and feasibility of the method.
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