航空学报 > 2005, Vol. 26 Issue (4): 470-475

基于混合遗传算法求解飞机平衡状态

王海涛, 高金源   

  1. 北京航空航天大学 自动化科学与电气工程学院 自动控制系, 北京 100083
  • 收稿日期:2004-06-21 修回日期:1900-01-01 出版日期:2005-08-25 发布日期:2005-08-25

Solving the Equilibrium States of Aircraft Based on Mixture Genetic Algorithm

WANG Hai-tao, GAO Jin-yuan   

  1. Department of Automatic Control in School of Automation Science and Electrical Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China
  • Received:2004-06-21 Revised:1900-01-01 Online:2005-08-25 Published:2005-08-25

摘要: 通过分析飞机平衡状态的基本特性和现有配平算法存在的问题,提出了一种求解不同类型飞机多种平衡状态的通用方法。该方法与飞机模型结构无关,只利用配平约束进行计算,算法采用与单纯形相结合的混合遗传算法,提高了搜索速度与精度。仿真结果表明这种方法具有较好的收敛性与稳定性。

关键词: 飞行控制, 平衡状态, 配平, 遗传算法, 单纯形算法

Abstract: This paper studies the characteristics of equilibrium states in the steady flight of an aircraft, analyzes the existing trimmed-method and presents a general method of solving the various equilibrium states of any aircraft. It does work only through aircraft model input and output signals with restrictive condition. Mixture genetic algorithm combined with the genetic algorithm and the simplex algorithm is used to improve the searching process and precision. The result shows that the algorithm has good convergence and steadiness.

Key words: flight control, equilibrium state, flight trimming, genetic algorithm, simplex algorithm

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