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Study on inversion control for integrated helicopter/engine system with variable rotor speed based on state variable model

  • Yong Wang , Qiangang Zheng , Haibo Zhang EMAIL logo and Haoying Chen
Published/Copyright: August 8, 2020
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Abstract

In order to realize the fast response control for turboshaft engine with variable rotor speed, a dynamic inversion (DI) control method based on state variable model of turboshaft engine is proposed. Meanwhile, in order to expand the application of dynamic inversion controller, the linear parameter varying (LPV) model of turboshaft engine is applied, which constitutes the LPV/DI controller together. The simulation results shows that compared with the conventional PID controller, the LPV/DI controller can effectively reduce the overshoot/droop of the power turbine speed to less than 1% under different flight conditions. The control effect is remarkable and the robust performance is superior.

PACS®(2010): 07.07.Tw; 45.80.+r; 87.19.lr

Corresponding author: Haibo Zhang, College of Energy and Power, Nanjing University of Aeronautics and Astronautics, JiangSu Province Key Laboratory of Aerospace Power System, NO. 29 Yudao Street, Nanjing, 210016, China, E-mail:

Funding source: National Science and Technology Major Project

Award Identifier / Grant number: 2017-V-0004-0054

Funding source: Research on the Basic Problem of Intelligent Aero-engine

Award Identifier / Grant number: 2017-JCJQ-ZD-047-21

Funding source: National Natural Science Foundation of China

Award Identifier / Grant number: 51906102

Funding source: China Postdoctoral Science Foundation Funded Project

Award Identifier / Grant number: 2019M661835

Funding source: Aeronautics Power Foundation

Award Identifier / Grant number: 6141B09050385

Funding source: Postgraduate Research & Practice Innovation Program of Jiangsu Province

Award Identifier / Grant number: KYCX20_0218

Funding source: Six Talents Peak Project of Jiangsu Province

  1. Author contribution: All the authors have accepted responsibility for the entire content of this submitted manuscript and approved submission.

  2. Research funding: The work has been co-supported by National Science and Technology Major Project under Grant 2017-V-0004-0054, Research on the Basic Problem of Intelligent Aero-engine under Grant 2017-JCJQ-ZD-047-21, National Natural Science Foundation of China under Grant 51906102, China Postdoctoral Science Foundation Funded Project under Grant 2019M661835, Aeronautics Power Foundation under Grant 6141B09050385, Postgraduate Research & Practice Innovation Program of Jiangsu Province under Grant KYCX20_0218 and Six Talents Peak Project of Jiangsu Province.

  3. Conflict of interest statement: The authors declare no conflicts of interest regarding this article.

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Received: 2020-06-05
Accepted: 2020-06-09
Published Online: 2020-08-08
Published in Print: 2023-03-28

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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