导弹与航天运载技术2024,Issue(3) :57-64.DOI:10.7654/j.issn.2097-1974.20240309

基于自抗扰理论的舰载武器随动控制研究

Servo-control Strategy of Shipborne Weapon based on Active Disturbance Rejection Theory

张杨 王志勇 王缜 姜宗民
导弹与航天运载技术2024,Issue(3) :57-64.DOI:10.7654/j.issn.2097-1974.20240309

基于自抗扰理论的舰载武器随动控制研究

Servo-control Strategy of Shipborne Weapon based on Active Disturbance Rejection Theory

张杨 1王志勇 1王缜 1姜宗民1
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作者信息

  • 1. 北京航天发射技术研究所,北京,100076
  • 折叠

摘要

舰载平台在复杂海面风浪环境下保持姿态的稳定,是舰载武器工作的重要基础.针对舰载平台的姿态稳定控制,设计了自抗扰控制器提高了舰载平台对目标角度随动跟踪的精度,并保证了系统快速响应,抑制风浪扰动及负载扰动等不确定因素的影响.为进一步提高控制器的控制效果,提出粒子群算法进行了控制器的智能化参数寻优,经过仿真分析及样机试验验证了自抗扰控制器在提高系统随动跟踪快速性、精准性及鲁棒性的作用.

Abstract

The stability of shipborne platform in complex sea surface wind and wave environments is an important foundation for the operation of shipborne equipment.Attitude stability control for shipborne platform,an active disturbance rejection controller is designed,which improves the tracking accuracy of the shipborne platform to the target angle,ensures the rapid response of the system,and suppresses the influence of uncertain factors such as wind wave disturbance and load disturbance.In order to further improve the control effect of the controller,the particle swarm optimization algorithm is used to optimize the intelligent parameters of the controller.The simulation results show that the ADRC can improve the tracking speed,accuracy and robustness of the system.

关键词

舰载武器/随动跟踪/自抗扰控制/参数优化/粒子群算法

Key words

shipborne weapon/servo tracking/active disturbance rejection controller/parameter optimization/particle swarm optimization algorithm

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出版年

2024
导弹与航天运载技术
中国运载火箭技术研究院

导弹与航天运载技术

CSTPCD北大核心
影响因子:0.238
ISSN:1004-7182
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