系统仿真学报 ›› 2017, Vol. 29 ›› Issue (1): 115-119.doi: 10.16182/j.issn1004731x.joss.201701016

• 仿真系统与技术 • 上一篇    下一篇

基于改进最小方差控制的周转件库存优化研究

王修岩, 张革文   

  1. 中国民航大学航空自动化学院,天津 300300
  • 收稿日期:2015-04-23 修回日期:2015-09-23 出版日期:2017-01-08 发布日期:2020-06-01
  • 作者简介:王修岩(1965-),男,吉林农安,博士,教授,研究方向为非线性系统建模与控制;张革文(1992-),男,江西吉安,硕士生,研究方向为控制理论与控制工程。

Research on Repairable Aviation Spares Inventory Optimization Based on Modified Minimum Variance Control

Wang Xiuyan, Zhang Gewen   

  1. School of Aviation Automation, Civil Aviation University of China, Tianjin 300300, China
  • Received:2015-04-23 Revised:2015-09-23 Online:2017-01-08 Published:2020-06-01

摘要: 针对周转件航材库存优化和科学管理的问题,将改进最小方差控制算法引入到周转件航材库存优化中。以音频控制板为对象,将“维修保障—库存—航材补充”系统视为广义物理系统,结合航空公司周转件实际耗损中的不确定性等因素,建立周转件库存受控系统模型;采用改进最小方差控制策略,同时结合了层次分析法估计柔化系数和延长预测步长思想。利用Matlab-simulink搭建仿真平台并进行仿真研究,结果表明该方法相比传统最小方差控制策略的效果有显著改善。

关键词: 改进最小方差控制, 周转件库存优化, 数学模型, 柔化系数, 延长预测步长

Abstract: Aiming at the difficulty in repairable aviation spares inventory optimization and scientific management, modified minimum variance control algorithm was introduced to repairable aviation spares inventory optimization. With audio control panel as the research subject and “maintenance production-inventory-aviation supplies complementarity” being viewed as a generalized physical system, combined with the uncertainty existing in the process of actual aviation supply loss, repairable aviation spares inventory control system model was established. By using minimum variance control strategy, and increasing the analytic hierarchy procedure, softness factor and extended predictive step length were estimated. Using Matlab-simulink, a simulation platform and achieve simulation research was built. The result shows that compared with the traditional minimum variance control, the performance effect of the improved control strategy is much better.

Key words: modified minimum variance control, repairable aviation spares inventory optimization, mathematics model, softness control, extended predictive step length

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