双转子MIMO系统建模与鲁棒控制

S. H. Shah, S. G. Khan, J. Iqbal, Mathkar A. Alharthi
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引用次数: 2

摘要

最近,无人驾驶飞行器(uav)在各个领域都非常受欢迎,从监视,救援,消防到其他更复杂的军事和商业应用。然而,由于其高度非线性和动态的作战环境,无人机的控制仍然是一项具有挑战性的任务。线性二次高斯调节器(LQG)是一种最优控制技术,在无人机控制中得到了广泛的应用。然而,为了获得稳健的性能,需要精确的系统动态模型。为了克服这一限制,本工作将积分滑模控制器与LQG控制器耦合以处理建模误差。基于实验室的双转子MIMO系统(TRMS)的俯仰控制实验结果验证了ISMC-LQG控制器的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Modeling and Robust Control of Twin Rotor MIMO System
Recently, unmanned aerial vehicles (UAVs) have witnessed immense popularity in various fields, ranging from surveillance, rescue, and fire fighting to other more sophisticated military and commercial applications. However, due to their highly nonlinear nature and dynamic operational environment, the control of UAVs is still a challenging task. Linear Quadratic-Gaussian Regulator (LQG), is an optimal control technique, which has been very popular for UAVs control. However, for robust performance, an accurate dynamic model of a system is required. In order, to overcome this limitation, the present work couples an integral sliding mode controller with the LQG controller to deal with the modeling inaccuracies. Experimental results of pitch control of the laboratory-based twin rotor MIMO system (TRMS), validate the performance of ISMC-LQG controller.
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