利用人工智能对倒立摆进行反馈控制

W. Rekdalsbakken
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引用次数: 5

摘要

倒立摆是一种简单的装置,它很好地说明了用不同的控制策略对不稳定系统进行反馈控制的使用。本文从倒立摆系统的状态空间模型出发,研究了倒立摆物理模型的反馈控制问题。首先对极点的定位算法进行了深入的研究。在此之后,研究了一种人工智能(AI)方法来更好地处理物理模型的非线性。所使用的技术是基于将神经网络的特性与遗传算法的特性相结合的混合系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Feedback Control of an Inverted Pendulum with the use of Artificial Intelligence
An inverted pendulum represents a simple device which is excellent for demonstrating the use of feedback control of an unstable system with different kinds of control strategies. In this work feedback control of a physical model of an inverted pendulum is investigated from the point of view of a state space model of the system. First a pole placement algorithm is thoroughly explored. After this an artificial intelligence (AI) method is investigated to better cope with the nonlinearities of the physical model. The technique used is based on a hybrid system combining the qualities of a neural network with those of a genetic algorithm.
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