Disturbance Observer Based Model Predictive Control for Autopilot Design of Bank-to-Turn Missiles

被引：0

作者：

Yang, Jun ^{[1
]}

Li, Shihua ^{[1
]}

机构：

[1] Southeast Univ, Sch Automat, Key Lab Measurement & Control CSE, Minist Educ, Nanjing 210096, Peoples R China

来源：

PROCEEDINGS OF THE 2012 24TH CHINESE CONTROL AND DECISION CONFERENCE (CCDC) | 2012年

关键词：

Bank-to-Turn Missiles; Autopilot Design; Model Predictive Control; Disturbance Observer; NETWORKS; ROBUST; SYSTEM;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The attitude control performance of the bank-to-turn (BTT) missiles are severely interrupted by heavy nonlinear crossing couplings, time-varying aerodynamic parameters, and external disturbances. A distributed composite control framework consisting of a high-level model predictive control, a low-level state feedback stabilizer, and a feedforward compensation based on disturbance observer is proposed in this article for the BTT missile autopilot design. The simulation results demonstrate that the proposed control strategy exhibits promising abilities against external disturbances, nonlinear crossing couplings and aerodynamic parameter perturbations.

引用

页码：2099 / 2104

页数：6

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