文章基本信息

标题：Robust Scheduling Of Nonlinear Time-Scale Separated Autopilot Using Online Static Margin Estimation
本地全文：下载
作者：S.N. Tiwari ; P.N. Dwivedi ; A. Bhattacharyya 等
期刊名称：IFAC PapersOnLine
印刷版ISSN：2405-8963
出版年度：2018
卷号：51
期号：1
页码：621-626
DOI：10.1016/j.ifacol.2018.05.104
语种：English
出版社：Elsevier
摘要：AbstractScheduling of autopilot is an important issue in both linear and nonlinear design. Robust Gain Schedule for such an autopilot can be obtained as a function of missile airframe incidence lag, a single variable defining missile characteristic at a particular operating point. From flight control clearance point of view, adequate robustness has to be achieved for both nominal and perturbed plant. For a neutrally stable missile, due to large aero perturbations, gain schedule obtained for nominal plant fails to qualify the clearance criterion for perturbed plant due to actuator bandwidth constraints. Because of this there has been requirement for estimation of static margin online based on which gains has to be adjusted for perturbed plant conditions. In this paper, a novel method of online static margin estimation based on linear-in-weight neural network has been proposed. Training of neural network is done by utilizing the error information between the nominal and actual states and carrying out the necessary Lyapunov stability analysis using a Sobolev norm based Lyapunov function. The advantages of proposed method are demonstrated via simulations of a high-fidelity six-DOF missile model, in which worst case uncertainties are considered.
关键词：KeywordsNonlinear AutopilotRobustadaptiveStatic Margin Estimation