摘要
针对发动机飞行环境模拟试验过程中进排气环境压力控制系统存在大气流变化干扰问题,开展了一种基于干扰观测器的控制(Disturbance Observer-Based Control,DOBC)与自适应反步的复合抗干扰控制方法研究。将系统中多源干扰分为部分信息已知的可建模干扰和能量有界的不可建模随机干扰。对于可建模干扰,构建内层干扰观测器(Disturbance Observer,DO)进行干扰估计并通过前馈环节进行干扰抵消;对于能量有界的不可建模随机干扰,设计外层自适应反步控制器进行干扰抑制。仿真验证了所提控制方法在扰动抑制、状态估计和鲁棒性方面具有有效性,并与线性自抗扰控制器(Linear Active Dis-turbance Rejection Controller,LADRC)、复合线性扩张状态观测器(Linear Extended State Observer,LESO)与自适应反步的抗干扰控制器进行对比分析。结果表明,复合DOBC与自适应反步的抗干扰控制相较于其余2种控制方案,在推力瞬变的过渡态试验过程中,有效缩短了调节时间,大幅减少了最大瞬时波动,并显著降低了平均误差,从而提升了系统的整体控制性能,为后续实际工程应用奠定了基础。
In terms of large and changeable airflow disturbances in the intake and exhaust environment pressure control system during aeroengine tests,a composite anti-disturbances control algorithm combining the disturbance observer-based control(DOBC)and the adaptive backstepping is proposed.The multi-source disturbances in the system can be classified into modelable disturbances with known partial information and unmodelable random disturbances with bounded energy.For the modelable disturbances,the inner disturbance observer(DO)is constructed to estimate the disturbance and perform disturbance cancellation,through a feed for ward link.For unmodelable radom disturbances with bounded energy,an outer adaptive backstepping controller is designed to suppress the disturbances.The performances of the proposed composited DOBC and adaptive back-stepping controller are verified by comparing with the linear active disturbance rejection controller(LADRC)and the composite linear extended state observer(LESO)and adaptive backstepping controller,respectively.The results show that compared with the other two control schemes,the anti-interference control of composite DOBC and adaptive backstepping effectively shortens the adjusting time,significantly reduces the maximum in-stantaneous fluctuation,and significantly reduces the average error during the transition state test of thrust tran-sient,thereby improving the overall control performance of the system and laying the foundation for subsequent practical engineering applications.
作者
林洋豪
李雪
张松
钱秋朦
谢丽萍
张和洪
LIN Yanghao;LI Xue;ZHANG Song;QIAN Qiumeng;XIE Liping;ZHANG Hehong(College of Computer and Data Science,Fuzhou University,Fuzhou 350108,China;AECC Sichuan Gas Turbine Establishment,Mianyang 621703,China;Hubei Institute of Water Resources Survey and Design Co.,Ltd.,Wuhan 430070,China)
出处
《测控技术》
2025年第8期41-49,共9页
Measurement & Control Technology
基金
福建省自然科学基金重点项目(2021J02008)
基础加强重点项目(JWKT-2001-2022-0002)
国家自然科学基金(62003088)。
关键词
高空舱
进排气环境压力控制
干扰观测器
自适应反步
复合分层抗干扰
high-altitude cabin
intake and exhaust pressure control
DO
adaptive backstepping
composite hierarchical anti-disturbance
