摘要
加速过程中,动态和输入不确定性会给航空发动机控制系统造成不同程度的性能冲击。为改善控制系统性能,本文利用自抗扰控制方法补偿动态和输入不确定性造成的不良影响,采用麻雀搜索算法整定自抗扰控制器参数,以某型涡扇发动机为研究对象,基于Matlab/Simulink开展仿真分析。仿真结果表明,自抗扰控制器可以较好地抑制系统中的动态和输入不确定性造成的不良影响,能够实现对高压转子转速的准确快速跟踪,无稳态误差,超调量不超过0.07%,动态调节时间为2.5s,燃油流量变化较平滑,几乎无大幅值振荡。
During the acceleration process,dynamic and input uncertainty will cause varying degrees of performance impact on aeroengine control system.In order to improve the performance of the control system,this paper uses the active disturbance rejection control method to compensate the adverse effects caused by dynamic and input uncertainty,and uses the sparrow search algorithm to tune the parameters of the active disturbance rejection controller.Taking a turbofan engine as the research object,the simulation analysis is carried out based on Matlab/Simulink.The simulation results show that the active disturbance rejection controller can better suppress the adverse effects caused by the dynamic and input uncertainty in the system,and can achieve accurate and fast tracking of the high pressure rotor speed without steady-state error,and overshoot does not exceed 0.07%.The dynamic adjustment time is 2.5s,and the fuel flow change is smooth,while there is almost no large oscillation.
作者
王伟
赵哲
Wang Wei;Zhao Zhe(Civil Aviation University of China,Tianjin 300300,China)
出处
《航空科学技术》
2023年第7期36-42,共7页
Aeronautical Science & Technology
基金
科技部国家重点研发计划项目(2022YFC3002502)。
关键词
动态和输入不确定性
航空发动机
自抗扰控制
麻雀搜索算法
加速控制
dynamic and input uncertainty
aeroengine
active disturbance rejection control
sparrow search algorithm
acceleration control