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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杆分布区域的方法

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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:在飞机运动模型中存在很多不确定性,为试验系统提供了有效的间隙,本文提出了一种估计飞行控制系统的闭环杆分布区域的方法,具有几种扰动参数。全局敏感性分析用作预处理措施,以找出扰动参数,该参数显示出比其他方式显然对飞行控制系统的影响较小,通过忽略这些参数来降低不确定性令。然后,采用四种典型区域来找出典型区域的相应边界参数,使得不确定系统满足鲁棒的D稳定条件。通过采取四个典型区域的交点,然后我们得到了不确定系统的闭环杆分布区域的估计。 Monte Carlo仿真结果表明,基于全局敏感性分析的闭环杆分配区域估计方法本文可以有效地估计不确定系统的实际分配区域。

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