引用本文:于剑桥,文仲辉,许承东.采用D–K–D迭代算法设计导弹增益调度自动驾驶仪[J].控制理论与应用,2009,26(8):855~859.[点击复制]
YU Jian-qiao,WEN Zhong-hui,XU Cheng-dong.Missile gain-scheduled autopilot design using D–K–D iteration[J].Control Theory and Technology,2009,26(8):855~859.[点击复制]
采用D–K–D迭代算法设计导弹增益调度自动驾驶仪
Missile gain-scheduled autopilot design using D–K–D iteration
摘要点击 1626  全文点击 1192  投稿时间:2008-04-09  修订日期:2009-07-16
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DOI编号  10.7641/j.issn.1000-8152.2009.8.CCTA080316
  2009,26(8):855-859
中文关键词  D–K–D迭代算法  增益调度控制  鲁棒控制  自动驾驶仪
英文关键词  D–K–D iteration  gain-scheduled control  robust control  autopilot
基金项目  兵器基金资助项目(YJ0467008).
作者单位E-mail
于剑桥* 北京理工大学宇航科学技术学院 jianqiao@bit.edu.cn 
文仲辉 北京理工大学宇航科学技术学院  
许承东 北京理工大学宇航科学技术学院  
中文摘要
      导弹增益调度自动驾驶仪除具有对时变参数的自适应调节能力外, 还应具有对不可测量不确定性的抑制能力. 为此, 将导弹自动驾驶仪设计问题描述为一类含有不可测量不确定性的线性参数时变(LPV)系统的鲁棒增益调度问题, 构造了模型匹配自动驾驶仪设计结构, 并通过D–K–D迭代算法综合运用LPV控制方法和μ综合方法设计了导弹鲁棒增益调度自动驾驶仪. 设计的自动驾驶仪不仅能够随导弹飞行马赫数和高度的变化自动进行参数调节, 还能够有效抑制量测噪声、量测误差及建模误差等不可测量不确定性. 仿真结果验证了设计方法的有效性和可行性.
英文摘要
      Missile gain-scheduled autopilot should not only adapt to the variations of time-varying parameters, but also restrain unmeasured uncertainties. By describing missile autopilot design problem as a robust gain-scheduled problem of linear parameter-varying(LPV) system with unmeasured uncertainties, we establish a model matching autopilot design structure, and a missile robust gain-scheduled autopilot is then designed by combining the LPV control approach and the μ-synthesis approach through the D–K–D iteration. The designed autopilot not only adjusts parameters automatically with respect to the flight Mach number and altitude, but also restrains unmeasured uncertainties such as measurement noise, measurement errors and modeling errors. Simulation results validate the effectiveness and feasibility of the approach.