Robust Fixed Order Dynamic Compensation: a Differential Game Approach

G.D. Swenduk, A. Calise
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引用次数: 16

Abstract

H-infinity control theory has gained wide acceptance over the past 10 years as a valuable method of controller design. However, for most applications the solution results in a controller of higher dimension than that of the plant. As an alternative to controller order reduction, low order controllers can be designed by fixing the order of the controller apriori. Probably the most well-known approach to fixed order robust control is the optimal projection theory of Bernstein and Haddad. Unfortunately, the computational aspects of this approach are formidable. In this paper, a method is presented which allows the use of more standard numerical techniques. The robust control problem is formulated in the time domain as a differential game. Three coupled, first order necessary conditions are derived and a conjugate gradient algorithm is used to search for solutions. Two examples are used to test the approach: a simple, second order example and a 7th order problem describing the longitudinal dynamics of a fighter aircraft.
鲁棒定阶动态补偿:微分对策方法
在过去的十年中,h∞控制理论作为一种有价值的控制器设计方法得到了广泛的接受。然而,对于大多数应用,解决方案的结果是一个比工厂更高维度的控制器。作为降低控制器阶数的一种替代方法,可以通过确定控制器先验阶数来设计低阶控制器。也许最著名的固定顺序鲁棒控制方法是Bernstein和Haddad的最优投影理论。不幸的是,这种方法的计算方面是可怕的。在本文中,提出了一种允许使用更标准的数值技术的方法。鲁棒控制问题在时域上被表述为微分对策。导出了三个耦合的一阶必要条件,并采用共轭梯度算法求解。用两个例子来验证该方法:一个简单的二阶例子和一个描述战斗机纵向动力学的七阶问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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