基于遗传算法的气垫船LQR控制

Haris Mansoor, I. Shaikh, Shoaib Habib
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引用次数: 8

摘要

气垫船可以在任何粗糙的表面或水面上移动,它利用空气的推进力,并由含有高压缩空气的气垫支撑。气垫船适用于许多军事和普通用途。本文针对气垫船设计了一种LQR控制器。LQR的性能取决于Q和R矩阵的选择,采用遗传算法找到Q和R的最优值,并采用基于位置一阶导数函数的新方法作为适应度函数。结果表明,适应度函数不仅能很好地稳定系统,而且阶跃响应也很令人满意。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Genetic algorithm based LQR control of hovercraft
A hovercraft can move on any rough surface or water, it uses propulsion force of air and is supported by cushion that has high compressed air in it. Hovercraft is suitable for many military and ordinary purposes. In this paper a LQR controller is designed for hovercraft. The performance of LQR depends upon selection of Q and R matrix the optimal value of Q and R is found using genetic algorithm with a new method based on function of first derivative of position is used as a fitness function. The results show that the fitness function not only stabilizes system very efficiently but the step response is also very satisfactory.
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