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Genetic algorithm based LQR control of hovercraft

机译:基于遗传算法的气垫船LQR控制

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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.
机译:气垫船可以在任何粗糙的表面或水上移动,它使用空气的推进力,并由其上具有高压缩空气的垫子支撑。气垫船适用于许多军事和普通目的。在本文中,LQR控制器专为气垫船而设计。 LQR的性能取决于选择Q和R矩阵,使用基于第一导数的新方法使用遗传算法来找到Q和R的最佳值,该方法用作适合功能。结果表明,健身功能不仅非常有效地稳定系统,而且阶梯响应也非常令人满意。

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