Design of Control Laws Based on Inverted Decoupling and Linear Matrix Inequality for a Turboprop Engine

被引:4
|
作者
Chen, Huairong [1 ]
Wang, Xi [1 ]
Zhu, Meiyin [1 ]
Gu, Nannan [1 ]
Yang, Shubo [1 ]
机构
[1] Beihang Univ, Sch Energy & Power Engn, Beijing 100191, Peoples R China
关键词
turboprop engine; control laws; inverted decoupling; LMI;
D O I
10.1115/1.4045258
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
This paper proposes a systematic approach to design control laws for a turboprop engine. The proposed approach includes interactions decoupling and control laws design based on linear matrix inequality (LMI). First, since the main objective of the turboprop engine control system is to ensure propeller-absorbed power at a constant propeller speed, the linear model of a turboprop engine can be linearized into a two-input two-output (TITO) plants, and there exist the interactions between two control loops. Because inverted decoupling can well retain the dynamic characteristics of the original system, it is used to decouple the interactions so that the TITO plant can be divided into two single-input single-output plants, that is, gas-generator shaft speed is controlled by fuel flowrate and power turbine shaft speed is controlled by blade angle. Then, the control laws are designed separately for each control loop by solving the LMI group derived from static output feedback (SOF) and regional pole placement. Finally, the proposed approach is implemented on a two-spool turboprop engine (TSTPE) integrated model. The simulation results show that there exist strong interactions between two control loops of TSTPE, applying inverted decoupling to decouple these interactions is effective, and the gas-generator shaft speed and the power turbine speed can track their commands with appropriate performance by controlling the fuel flowrate and blade angle under the action of the designed control laws and inverted decoupling.
引用
收藏
页数:9
相关论文
共 50 条
  • [1] DESIGN OF CONTROL LAWS BASED ON INVERTED DECOUPLING AND LMI FOR A TURBOPROP ENGINE
    Chen, Huairong
    Wang, Xi
    Zhu, Meiyin
    Gu, Nannan
    Yang, Shubo
    PROCEEDINGS OF THE ASME TURBO EXPO: TURBOMACHINERY TECHNICAL CONFERENCE AND EXPOSITION, 2019, VOL 6, 2019,
  • [2] Inverted decoupling and LMI-based controller design for a turboprop engine with actuator dynamics
    Huairong CHEN
    Xi WANG
    Haonan WANG
    Nannan GU
    Meiyin ZHU
    Shubo YANG
    Chinese Journal of Aeronautics , 2020, (06) : 1774 - 1787
  • [3] Inverted decoupling and LMI-based controller design for a turboprop engine with actuator dynamics
    Chen, Huairong
    Wang, Xi
    Wang, Haonan
    Gu, Nannan
    Zhu, Meiyin
    Yang, Shubo
    CHINESE JOURNAL OF AERONAUTICS, 2020, 33 (06) : 1774 - 1787
  • [4] Inverted decoupling and LMI-based controller design for a turboprop engine with actuator dynamics
    Huairong CHEN
    Xi WANG
    Haonan WANG
    Nannan GU
    Meiyin ZHU
    Shubo YANG
    Chinese Journal of Aeronautics, 2020, 33 (06) : 1774 - 1787
  • [5] Decoupling control design via linear matrix inequalities
    Yang, YS
    Wang, QG
    Wang, LP
    IEE PROCEEDINGS-CONTROL THEORY AND APPLICATIONS, 2005, 152 (04): : 357 - 362
  • [6] Research on turboprop engine control method based on linear parameter varying model
    He, Liqiang
    Li, Siyuan
    Du, Jiatong
    Zhang, Haibo
    INTERNATIONAL JOURNAL OF TURBO & JET-ENGINES, 2024, 40 (s1) : s553 - s563
  • [7] Linear matrix inequality conditions for robustness and control design
    D'Andrea, R
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 2001, 11 (06) : 541 - 554
  • [8] TCSC controller design based on output feedback control with linear matrix inequality
    Ishimaru, M
    Shirai, G
    Niioka, S
    Yokoyama, R
    POWER PLANTS AND POWER SYSTEMS CONTROL 2000, 2000, : 185 - 190
  • [9] The iterative linear matrix inequality suboptimal design of decentralized ∞ control
    Yongfang Xie
    Weihua Gui
    Xiaoying Liu
    Min Wu
    Journal of Central South University of Technology, 1999, 6 (2): : 130 - 133
  • [10] Linear Matrix Inequality based Control of Tumor Growth
    Eigner, Gyorgy
    Kovacs, Levente
    2017 IEEE INTERNATIONAL CONFERENCE ON SYSTEMS, MAN, AND CYBERNETICS (SMC), 2017, : 1734 - 1739