教练机2024,Issue(1) :64-68.

基于遗传算法的无人机最优控制器设计

Optimum Design of Controller for UAV Based on Genetic Algorithm

盛启辉 潘海华 李智军 陈建东
教练机2024,Issue(1) :64-68.

基于遗传算法的无人机最优控制器设计

Optimum Design of Controller for UAV Based on Genetic Algorithm

盛启辉 1潘海华 2李智军 1陈建东1
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作者信息

  • 1. 航空工业洪都,江西南昌,330024;江西省精确制导技术工程研究中心,江西南昌,330024
  • 2. 航空工业洪都,江西南昌,330024
  • 折叠

摘要

无人机纵向通道最优控制器设计中,状态变量加权矩阵Q和控制变量加权矩阵R直接影响控制系统的性能,Q阵中元素选取直接影响其对应的状态变量性能,R阵中的元素影响其对应的控制变量能量消耗.以升降舵控制输入值、迎角的输出峰值和超调量的加权为适应度函数,应用遗传算法对Q和R中的元素进行寻优,从而提高设计效率.

Abstract

In the optimum design of UAV controller in longitudinal channel,the weighted matrix Q of state variables and weighted matrix R of control variables directly affect the performance of control system.Selec-tion of elements in matrix Q directly affects the performance of its corresponding state variables while the ele-ments in matrix R affect the energy consumption of its corresponding control variables.This paper expounds the application of genetic algorithm to perform optimizing among the elements in matrix Q and matrix R to improve the design efficiency by taking the weighting of input value for elevator control,the output peak val-ue of AOA and overshoot as fitness function.

关键词

最优控制/遗传算法/适应度函数

Key words

Optimum control/Genetic algorithm/Fitness function

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出版年

2024
教练机
中航工业江西洪都航空工业集团有限责任公司

教练机

影响因子:0.048
ISSN:1005-7420
参考文献量7
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