μ-Synthesis control with reference model for aeropropulsion system test facility under dynamic coupling and uncertainty

被引:5
|
作者
Liu, Jiashuai [1 ]
Wang, Xi [1 ]
Liu, Xi [1 ]
Zhu, Meiyin [2 ]
Pei, Xitong [3 ,4 ]
Zhang, Song [4 ]
Dan, Zhihong [4 ]
机构
[1] Beihang Univ, Sch Energy & Power Engn, Beijing 100191, Peoples R China
[2] Beihang Univ, Zhongfa Aviat Inst, Hangzhou 311115, Peoples R China
[3] Beihang Univ, Res Inst Aeroengine, Beijing 100191, Peoples R China
[4] Sichuan Gas Turbine Estab, AECC Aero Engine Corp China, Sci & Technol Altitude Simulat Lab, Mianyang 621703, Peoples R China
基金
中国国家自然科学基金;
关键词
Aeropropulsion System Test Facility (ASTF); Decoupling; Robustness; mu; -Synthesis; Uncertainty; ROBUST CONTROLLER;
D O I
10.1016/j.cja.2023.06.016
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
Due to the dynamic coupling and multi-source uncertainties, it is difficult to accurately control the pressure and temperature of the Aeropropulsion System Test Facility (ASTF) in the presence of rapid command and large disturbance. This paper presents the design of mu-synthesis control to solve the problem. By incorporating the pressure ratio into the linear equation of the control valve, the modeling error of ASTF in the low frequency range is effectively reduced. Then, an uncertain model is established by considering various factors, including parameter variations, mod-eling error in the low frequency range, unmodeled dynamics, and changes in the working point. To address the dynamic coupling, a diagonal reference model with desired performance is incorporated into mu-synthesis. Furthermore, all weighting functions are designed according to the performance requirements. Finally, the mu-controller is obtained by using the standard mu-synthesis method. Simulation results indicate that the mu-controller decouples the pressure and temperature dynamics of ASTF. Compared with the multivariable PI controller, integral-mu controller, and double integral-mu controller, the proposed mu-controller can achieve higher transient accuracy and better disturbance rejection. Moreover, the robustness of the mu-controller is demonstrated by Monte Carlo simulations.(c) 2023 Production and hosting by Elsevier Ltd. on behalf of Chinese Society of Aeronautics and Astronautics. This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/ licenses/by-nc-nd/4.0/).
引用
收藏
页码:246 / 261
页数:16
相关论文
共 50 条
  • [41] MODEL OF REGULATION UNDER UNCERTAINTY AND A TEST OF REGULATORY BIAS
    BARON, DP
    TAGGART, RA
    BELL JOURNAL OF ECONOMICS, 1977, 8 (01): : 151 - 167
  • [42] The Coupling Dynamic Analysis and Field Test of TBM Main System under Multipoint Impact Excitation
    Huo, Junzhou
    Wu, Hanyang
    Li, Guangqing
    Sun, Wei
    Chen, Jing
    SHOCK AND VIBRATION, 2015, 2015
  • [43] A cross-coupling reference model control algorithm
    Xiao, Y
    Zhu, KY
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2005, 19 (08) : 623 - 638
  • [44] ADAPTIVE ROBUST CONTROL UNDER MODEL UNCERTAINTY
    Bielecki, Tomasz R.
    Chen, Tao
    Cialenco, Igor
    Cousin, Areski
    Jeanblanc, Monique
    SIAM JOURNAL ON CONTROL AND OPTIMIZATION, 2019, 57 (02) : 925 - 946
  • [45] CONTROL OF A HYPERBOLIC SYSTEM UNDER CONDITIONS OF UNCERTAINTY
    OKHEZIN, SP
    PMM JOURNAL OF APPLIED MATHEMATICS AND MECHANICS, 1978, 42 (04): : 638 - 645
  • [46] Model predictive control of anesthesia under uncertainty
    Krieger, Alexandra
    Pistikopoulos, Efstratios N.
    COMPUTERS & CHEMICAL ENGINEERING, 2014, 71 : 699 - 707
  • [47] Bounded control of mechanical system under uncertainty
    Anan'evskii, IM
    DOKLADY AKADEMII NAUK, 1998, 359 (05) : 607 - 609
  • [48] Calibration and Control for Estuary System under Uncertainty
    Bing Zhao
    Larry Mays
    Water Resources Management, 1997, 11 : 339 - 363
  • [49] Calibration and Control for Estuary System under Uncertainty
    Zhao, Bing
    Mays, Larry
    WATER RESOURCES MANAGEMENT, 1997, 11 (05) : 339 - 363
  • [50] Multiobjective Robust Dynamic Output-feeback Control Synthesis based on Reference Model
    Gomes Bachur, Wagner Eustaquio
    Goncalves, Eduardo Nunes
    Palhares, Reinaldo Martinez
    Caldeira Takahashi, Ricardo Hiroshi
    49TH IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2010, : 2330 - 2335