推进技术 ›› 2019, Vol. 40 ›› Issue (12): 2842-2852.DOI: 10.13675/j.cnki. tjjs. 023

• 测试与控制 • 上一篇    下一篇

基于多模型切换的航空发动机分布式鲁棒跟踪控制器设计

徐若淞1,谢寿生1,李腾辉2,赵泽平1   

  1. 1.空军工程大学 航空工程学院, 陕西 西安 710038;2.中国人民解放军95816部队,湖北 广水;432700
  • 发布日期:2021-08-15
  • 基金资助:
    国家自然科学基金 51506221国家自然科学基金(51506221)。

Design of Distributed Robust Tracking Controller for Aeroengine Based on Multiple Model Switching

  1. 1.Aircraft and Power Engineering Department,Air Force Engineering University,Xi’an 710038,China;2.Unit 95816 of Chinese People’s Liberation Army,Guangshui 432700,China
  • Published:2021-08-15

摘要: 针对航空发动机分布式控制系统的网络诱导时延问题,考虑到全包线范围的区域划分,将系统建立为多模型条件下的具有模型参数不确定性的切换系统;为实现对参考信号的跟踪,提出了一种切换鲁棒跟踪控制器,并利用鲁棒控制理论以及Lyapunov函数推导出使系统状态变量跟踪参考输入信号并具有一定鲁棒性能的反馈矩阵求解方法;将所提出的方法通过MATLAB仿真和分布式控制系统半物理仿真实验平台对该跟踪控制器进行了仿真验证。结果表明:在两个平台验证时,定常信号响应的调节时间分别为1.06s和2.25s,且能够迅速稳定在参考输入转速的附近,说明该切换鲁棒跟踪控制器能够在存在时延的条件下具有良好的跟踪性能。

关键词: 航空发动机;不确定模型;时延;多模型切换;鲁棒控制;控制器设计

Abstract: Aiming at solving the problem of network-induced time delay of aero-engine distributed control system and considering regionalism of full-envelope coverage, this research builds the system into a switching system with model parameter uncertainty under the multi-model condition. To realize the tracking of reference signal, it puts forward a robust switching tracking controller, utilizes robust control theory and Lyapunov function to infer feedback matrix solution that makes system state variable tracking reference input signal and has certain robust performance and uses proposed methods to conduct simulation verification of this tracking controller through MATLAB simulation and distributed control system semi-physical simulation experiment platform. The simulation results show that the regulation time of the steady signal response is 1.06s and 2.25s, respectively when verifying the two platforms, and it can be quickly stabilized near the reference input speed. It indicates that this switching robust tracking controller is able to possess good tracking performance under the circumstance of time delay.

Key words: Aeroengine;Uncertain model;Time delay;Multi-model switching;Robust control;Controller design