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
  • [11] Generic Modeling Method of Quasi-One-Dimensional Flow for Aeropropulsion System Test Facility
    Liu, Jiashuai
    Wang, Xi
    Pei, Xitong
    Zhu, Meiyin
    Zhang, Louyue
    Yang, Shubo
    Zhang, Song
    SYMMETRY-BASEL, 2022, 14 (06):
  • [12] MODEL-REFERENCE CONTROL AND IDENTIFICATION OF ROBOTIC MANIPULATORS UNDER UNCERTAINTY
    SKOWRONSKI, JM
    MATHEMATICAL MODELLING, 1987, 8 : 384 - 388
  • [13] Feedforward compensation-based L1 adaptive control for aeropropulsion system test facility and hardware-in-the-loop verification
    Liu, Jiashuai
    He, Ai
    Pei, Xitong
    Long, Yifu
    CHINESE JOURNAL OF AERONAUTICS, 2025, 38 (03)
  • [14] Robust adaptive control of spacecraft proximity maneuvers under dynamic coupling and uncertainty
    Sun, Liang
    Huo, Wei
    ADVANCES IN SPACE RESEARCH, 2015, 56 (10) : 2206 - 2217
  • [15] Uncertainty analysis of a storage facility under optimal control
    Doeswijk, T. G.
    Keesman, K. J.
    van Straten, G.
    BIOSYSTEMS ENGINEERING, 2008, 99 (01) : 67 - 75
  • [16] An integrated model and algorithm for facility location under uncertainty
    Ren, Ming-ming
    Yang, Chao
    He, Bo
    ICNC 2007: THIRD INTERNATIONAL CONFERENCE ON NATURAL COMPUTATION, VOL 1, PROCEEDINGS, 2007, : 740 - +
  • [17] On dynamic pricing under model uncertainty
    Zhu, Xiaohan
    Sun, Xu
    NAVAL RESEARCH LOGISTICS, 2022, 69 (06) : 856 - 868
  • [18] Uncertainty estimation in calibration of instruments of model turbine test facility
    Goyal, Rahul
    FLOW MEASUREMENT AND INSTRUMENTATION, 2021, 79
  • [19] Dynamic optimization under uncertainty of the synthesis/design and operation/control of a proton exchange membrane fuel cell system
    Kim, Kihyung
    von Spakovsky, Michael R.
    Wang, Meng
    Nelson, Douglas J.
    JOURNAL OF POWER SOURCES, 2012, 205 : 252 - 263
  • [20] Model Validation Metric and Model Bias Characterization for Dynamic System Responses under Uncertainty
    Xi, Zhimin
    Fu, Yan
    Yang, Ren-Jye
    PROCEEDINGS OF THE ASME INTERNATIONAL DESIGN ENGINEERING TECHNICAL CONFERENCES AND COMPUTERS AND INFORMATION IN ENGINEERING CONFERENCE 2012, VOL 3, PTS A AND B, 2012, : 1249 - +