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A Constrained Pole Placement Method for Autopilot Gain Scheduling

机译:自动驾驶仪增益调度的受约束极放置方法

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In some air vehicle autopilot designs, a simple pole placement method is used to obtain autopilot gain formulas. To keep the problem analytically tractable, high order dynamic models (such processing time delay, bending filters, actuator dynamics, etc.) are often neglected in the pole placement process. Unfortunately, the presence of these high order dynamics, in some cases, causes instability if the gain formulas obtained from the simplified model are not modified. Methods of modifying these gain formulas are often heuristic and require engineers to perform enough simulation to determine empirical modifying factors. In this paper, we will show that the latter step of the design process can be avoided when a constrained pole placement method is used. This constrained pole placement method approximates high order dynamic models by simple time delay elements. Gain formulas obtained from this constrained pole placement method usually needs not be modified under the presence of high order effects in the loop.
机译:在一些空气车辆自动驾驶仪设计中,使用简单的杆子放置方法来获得自动驾驶仪增益公式。为了防止问题,在极杆放置过程中通常忽略高阶动态模型(这种处理时间延迟,弯曲滤波器,致动器动力学等)。遗憾的是,如果没有修改从简化模型获得的增益公式,则这些高阶动态的存在导致不稳定性。修改这些增益公式的方法通常是启发式的,并且需要工程师进行足够的模拟以确定经验修改因子。在本文中,我们将表明,当使用受约束的杆放置方法时,可以避免设计过程的后一步。这种受约束的极点放置方法通过简单的时间延迟元件近似高阶动态模型。从该约束杆放置方法获得的增益公式通常不在环路中的高阶效果的存在下进行修改。

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