CONFERENCE PROCEEDINGS
Advanced Search
Home > Proceedings > Volume 12790 > Article
Paper
7 September 2023 A control framework for turboshaft engine based on thermo-gas-dynamic model
Dongjing He, Rui Zhang, Cheng Wen, Lv Chen
Author Affiliations +
Proceedings Volume 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023); 127903J (2023) https://doi.org/10.1117/12.2689636
Event: 8th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 2023, Hangzhou, China
Abstract
The main control methods for helicopter turboshaft engines are cascade feedforward control and model predictive control. The former is difficult to solve the delay of power turbine response caused by the large inertia of the rotor system, while the latter often requires a great amount of computation due to the iteration of the optimal algorithm. To improve the real-time rapidity of power turbine control for turboshaft engines, a control system framework based on thermo-gas-dynamic performance model is proposed in this paper. The calculation of this model is lightweight based on component characteristics, and a double closed-loop feedback control system of the two rotational speeds of gas generator (GG) and power turbine (PT) based on small-step fuel flow (Wf) is further designed. The simulation results show that the power turbine speed is stable, the engine power response is fast, and the control process can be fast and reliable when this control framework is utilized for the acceleration and deceleration processes of the engine.
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Citation Download Citation
Dongjing He, Rui Zhang, Cheng Wen, and Lv Chen "A control framework for turboshaft engine based on thermo-gas-dynamic model", Proc. SPIE 12790, Eighth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2023), 127903J (7 September 2023); https://doi.org/10.1117/12.2689636
ACCESS THE FULL ARTICLE
ORGANIZATIONAL
Sign in with credentials provided by your organization.
INSTITUTIONAL
Select your institution to access the SPIE Digital Library.
SELECT YOUR INSTITUTION
PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.
PERSONAL SIGN IN
No SPIE Account? Create one
PURCHASE THIS CONTENT
SUBSCRIBE TO DIGITAL LIBRARY
50 downloads per 1-year subscription
Members: $195
Non-members: $335 ADD TO CART
25 downloads per 1 - year subscription
Members: $145
Non-members: $250 ADD TO CART
PURCHASE SINGLE ARTICLE
Includes PDF, HTML & Video, when available
Members: $17.00
Non-members: $21.00 ADD TO CART
PROCEEDINGS
 6 PAGES
DOWNLOAD PAPER SAVE TO MY LIBRARY
GET CITATION
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Control systems
Performance modeling
Turbines
Feedback control
Control systems design
Design and modelling
RELATED CONTENT
Subscribe to Digital Library
Receive Erratum Email Alert
Back to Top