| 引用本文: | 陆宇平,陈柏屹,刘燕斌,肖地波.吸气式高超声速飞行器考虑控制约束的设计优化[J].控制理论与应用,2014,31(12):1695~1706.[点击复制] |
| LU Yu-ping,CHEN Bo-yi,LIU Yan-bin,XIAO Di-bo.Control relevant design optimization for air-breathing hypersonic vehicle considering performance limitation[J].Control Theory and Technology,2014,31(12):1695~1706.[点击复制] |
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| 吸气式高超声速飞行器考虑控制约束的设计优化 |
| Control relevant design optimization for air-breathing hypersonic vehicle considering performance limitation |
| 摘要点击 2482 全文点击 2296 投稿时间：2014-08-29 修订日期：2015-01-21 |
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| DOI编号 10.7641/CTA.2014.40791 |
| 2014,31(12):1695-1706 |
| 中文关键词 吸气式高超声速飞行器 性能限制 零控区域 综合优化 |
| 英文关键词 air-breathing hypersonic vehicle performance limitation null-controllable region integrated optimization |
| 基金项目 国家自然科学基金资助项目(61403191); 江苏省研究生培养创新工程资助项目(KYLX 0281); 南航研究生创新基地(实验室)开放基金 资助项目(kfjj20130229). |
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| 中文摘要 |
| 为了能够获得性能卓越, 可靠的吸气式高超声速飞行器(AHSV)设计, 需要考虑其特殊动力学特性及控制系统的性能约束, 研究面向控制系统设计的系统设计优化策略. 首先, 简要介绍了AHSV第1原理建模与参数化建模相关的问题与方法; 其次, 分析了AHSV系统模型与控制系统性能之间的约束耦合特性: 系统模型的不稳定极点及其左特征向量与控制信号的饱和约束确定了反馈控制系统的零可控区域; 系统模型右半平面(RHP)零极点对于反馈闭环系统灵敏度函数与补灵敏度函数具有峰值约束与带宽限制; 最后, 考虑系统模型与控制系统约束耦合的特性, 根据选取的总体优化设计目标, 介绍了系统本体与控制系统组合优化的相关策略. 并简要分析了各优化策略的实用性及适用范围. 对于AHSV考虑控制系统性能约束的优化设计提供了一种研究方法和设计思路. |
| 英文摘要 |
| In order to obtain a class of reliable air-breathing hypersonic vehicle (AHSV), the paper provides system design optimization strategies for control relevant model based on its unique flight dynamic characteristics and the coupling with the control system. The first section briefly introduce the main issues and approaches for first principle modeling and parametric modeling of AHSV. The second part discusses the main coupled constraints between the model and control performance, and this model has unstable poles and their left eigenvectors, along with control saturation consraints determining the null-controllable region. In particular, RHP poles and zeros of this model limit the bandwidth and the H∞ norm of the sensitivity function and the complementary sensitivity function. Based on coupling characteristics and the selection of overall optimization objective, the following work describes the plant and control system optimization strategies for the optimal design, witch provides a research methodology and design method for AHSV. |
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