航空学报 > 2013, Vol. 34 Issue (6): 1261-1268   doi: 10.7527/S1000-6893.2013.0230

基于改进差分进化算法的飞行控制律评估方法

陈云翔1, 李琳1, 李千2, 纪小柠3   

  1. 1. 空军工程大学装备管理与安全工程学院, 陕西 西安 710051;
    2. 空军装备部, 北京 100843;
    3. 空军指挥学院, 北京 100097
  • 收稿日期:2012-07-02 修回日期:2012-08-23 出版日期:2013-06-25 发布日期:2012-09-05
  • 通讯作者: 陈云翔, Tel.: 029-84789661 E-mail: cyx87793@163.com E-mail:cyx87793@163.com
  • 作者简介:陈云翔 男, 博士, 教授, 博士生导师。主要研究方向: 军用装备可靠性、 安全性评估。 Tel: 029-84789661 E-mail: cyx87793@163.com;李琳 女, 博士研究生。主要研究方向: 军用飞机控制系统评估及其安全性分析。 Tel: 029-84789661 E-mail: lliner928@yahoo.cn;李千 男, 博士后, 工程师。主要研究方向: 飞机适航性、 安全性评估。 E-mail: roben203@163.com;纪小柠 女, 硕士, 讲师。主要研究方向: 军事装备理论研究。 E-mail: samathaji@hotmail.com
  • 基金资助:

    国防预研项目(51327020104)

Evaluation Method for Flight Control Law Based on Modified Differential Evolution Algorithm

CHEN Yunxiang1, LI Lin1, LI Qian2, JI Xiaoning3   

  1. 1. The Equipment Management and Safety Engineering Institute, Air Force Engineering University, Xi'an 710051, China;
    2. Department of Air Force Equipment, Beijing 100843, China;
    3. China Air Force Command Institute, Beijing 100097, China
  • Received:2012-07-02 Revised:2012-08-23 Online:2013-06-25 Published:2012-09-05
  • Contact: 10.7527/S1000-6893.2013.0230 E-mail:cyx87793@163.com
  • Supported by:

    National Defence Pre-research Foundation (51327020104)

摘要:

针对基本差分进化(DE)算法收敛慢、易陷入局部最优的问题,提出了基于混沌理论(CT)与高斯扰动的DE算法,进而通过典型测试函数仿真证明了该方法在收敛速度与全局搜索能力方面均优于基本型和其他改进型DE算法。在此基础上构建了基于DE算法的飞行控制律评估流程与实施步骤。实例表明,该方法克服了传统评估方法的缺陷,可在全飞行包线范围内及所有可预测参数摄动情况下对飞行控制律进行快速、准确的评估。

关键词: 飞行控制律, 差分进化算法, 混沌理论, 高斯扰动, 参数摄动

Abstract:

An evaluation method for a fight control law based on modified differential evolution (DE) algorithm is provided. A new modified method based on chaos theory (CT) and Gaussian disturbance (GD) is proposed to deal with the problem of slow search and premature convergence in the basic DE algorithm. Compared with the basic DE and other DE methods, experimental simulations show that the proposed method can not only significantly speed up the convergence, but also effectively solve the premature problem. And then the process to proceed the evaluation of the flight control law is put forward. Finally, the new method is applied to the evaluation of a flight control law. Result shows that the new method overcomes the limitations of the traditional evolution method, and can achieve satisfied results both for the whole flight envelope and for all predictable parameter perturbations.

Key words: flight control law, differential evolution algorithm, chaos theory, Gaussian disturbance, parameter perturbation

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