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应用科学学报 ›› 2011, Vol. 29 ›› Issue (4): 435-440.doi: 10.3969/j.issn.0255-8297.2011.04.017

• 控制与系统 • 上一篇    

飞机环控/发动机系统多目标优化

李洪波1， 董新民1， 李婷婷2， 郭军1   

  1. 1. 空军工程大学工程学院，西安710038
    2. 飞行自动控制研究所，西安710065
  • 收稿日期:2010-12-20 修回日期:2011-04-16 出版日期:2011-07-30 发布日期:2011-07-30
  • 作者简介:李洪波，博士生，研究方向：机载公共设备综合优化、飞行控制，E-mail: lhbfirst-81@163.com；董新民，教授，博导，研究方向：飞行器控制理论与应用、智能控制等，E-mail: dongxinmin@163.com
  • 基金资助:

    航空科学基金(No.2008ZC01006)资助

Multi-objective Optimization of Environmental Control System and Engine of Aircraft

LI Hong-bo1, DONG Xin-min1, LI Ting-ting2, GUO Jun1   

  1. 1. Engineering College Air Force Engineering University, Xi’an 710038, China
    2. Flight Automatic Control Research Institute, Xi’an 710065, China
  • Received:2010-12-20 Revised:2011-04-16 Online:2011-07-30 Published:2011-07-30

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摘要：

 提出一种改进的多目标粒子群优化算法，应用于飞机环控/发动机系统的综合优化. 将不同飞行阶段系统总熵产最小视为不同的目标函数，建立了多目标优化模型. 进而在基本多目标粒子群优化算法基础上，引入跳转操作、族群概念和一种全局最优位置分配方法，提出了一种改进算法，测试结果表明该算法性能良好. 采用该算法对多目标优化模型进行计算，得到收敛且分布均匀的非劣最优解集，为飞机系统综合优化提供一种新思路.

关键词: 多目标优化, 环控系统, 发动机系统, 粒子群优化, 非劣最优解集

Abstract:

An improved multi-objective particle swarm optimization algorithm is proposed and applied to the integrated optimization of environmental control system and engine of aircraft. A multi-objective optimization model is established by viewing the total entropy generation minimum at different flight phases as different objectives. Based on the basic multi-objective particle swarm optimization algorithm, an improved algorithm is proposed through a jump and cluster operation, and a new global optimal position distribution method. The simulation results show the good performance of the algorithm. The proposed algorithm is used to compute the multi-objective optimization model, the obtained pareto optimal set has good convergence and diversity. It provide a new way for integrated optimization of aircraft systems.

Key words:  multi-objective optimization, environmental control system, engine system, particle swarm optimization, pareto optimal set

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