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An approach to estimate the closed-loop poles distribution area of uncertain system

机译:一种估计不确定系统闭环极点分布面积的方法

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There exist a lot of uncertainties in the aircraft motion model, to give an effective clearance of the flight control system, this paper propose an approach to estimate the closed-loop poles distribution area of the flight control system with several perturbation parameters. Global sensitivity analysis is used as the pretreatment measure to find out the perturbation parameters which show obviously less influence on the flight control system than others, the uncertainty order is reduced by neglecting such parameters. And then, four kinds of typical regions are taken to find out the corresponding boundary parameters of the typical regions which make the uncertain system satisfy the robust D-stability conditions. By taking the intersection of the four typical regions, then we get the estimation of the closed-loop poles distribution area of the uncertain system. Monte Carlo simulation results show that the Global Sensitivity Analysis based closed-loop poles distribution area estimation approach this paper proposed can effectively estimate the actual distribution area of the uncertain system.
机译:为了给飞行控制系统提供有效的间隙,飞机运动模型存在很多不确定性,本文提出了一种利用多个扰动参数估计飞行控制系统闭环极点分布面积的方法。使用全局灵敏度分析作为预处理措施来找出对飞行控制系统的影响明显小于其他参数的扰动参数,忽略这些参数可以降低不确定性的阶数。然后,采用四种典型区域来找出典型区域的对应边界参数,使不确定系统满足鲁棒的D-稳定性条件。通过取四个典型区域的交点,可以得到不确定系统闭环极点分布面积的估计值。蒙特卡罗仿真结果表明,本文提出的基于全局灵敏度分析的闭环极点分布面积估计方法可以有效地估计不确定系统的实际分布面积。

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