Abstract
Variable cycle engine has many controllable variables and complex characteristics, and is a complex nonlinear system with strong coupling. Aiming at the three-input three-output variable cycle engine model, the relative gain array is used to analyze the internal coupling of the engine, and the conclusion shows that the variable cycle engine is a strongly coupled system. Therefore, an augmented linear quadratic Gaussian loop transfer recovery multivariable controller is designed. The simulation results indicate that the multi-variable control system has excellent disturbance suppression capability. In the command tracking capability simulation, the adjustment time is less than 0.5 s and the overshoot is less than 1%, indicating that the multi-variable method can effectively control the variable cycle engine, so that the significantly improves the performance of variable cycle engines. Finally, the hardware in loop simulation of the multivariable controller is implemented. The simulation consequences are basically no difference with the software environment. The running time in one cycle is 3.56 ms, which verifies the effectiveness and real-time performance of the multivariable control.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Li, J.: Research on adaptive control technology of variable cycle aeroengine. Northwestern Polytechnical University (2017)
Szuch, J.R., Soeder, J.F.: F100 multivariable control synthesis program: evaluation of a multivariable control using a real-time engine simulation. NASA TP-1056 (1977)
Przybylko, S., Rock, S.: Evaluation of a multivariable control design on a variable cycle engine simulation. In: 18th Joint Propulsion Conference (2006)
Zhao, M.: Research on semi-physical simulation of variable cycle engine control. North China University of Technology (2008)
Wang, H., Guo, Y., Qi, X.: Application of multi-objective genetic algorithm in \(H_{\infty }\) robust controller design. Adv. Technol. 30(0-4), 468–473 (2009)
Wang, H., Guo, Y., Qi, X., et al.: Design and verification of aero-engine two-degree-of-freedom robust controller. Comput. Meas. Control 17(05), 917–920 (2009)
Wang, Q.: Research on multivariable robust control of aero-engine based on control structure optimization. Nan**g University of Aeronautics and Astronautics (2010)
Lu, J., Guo, Y., Chen, X.: Establishment of aero-engine state variable model based on linear fitting method. J. Aerosp. Power 26(5), 1172–1177 (2011)
Jiang, Q., Zou, Z., Wu, H., et al.: Interaction analysis of flexible AC transmission system controller based on relative gain matrix principle. Chin. J. Electr. Eng. (11), 23–28+78 (2005)
**e, Z.: Research on modeling and distributed control of variable cycle engine. Northwestern Polytechnical University (2016)
Andani, M.T., et al.: Controller design for voltage-source converter using LQG/LTR. In: 2018 IEEE Texas Power and Energy Conference (TPEC). IEEE (2018)
Wang, X.Y., Du, X., Wang, X.F., et al.: Controller design of aero-engines under the distributed architecture with time delays. In: 2020 39th Chinese Control Conference (CCC), pp. 1102–1107 (2020)
Chen, H., Chen, M.: Turboshaft engine multiple configuration hardware in-circuit verification. Energy Res. Utilization (02), 12–15 (2021)
Zhao, W., Guo, Y., Yang, J., et al.: Design of a liquid rocket engine fault diagnostic device and its HIL verification. J. Bei**g Univ. Aeronaut. Astronaut. 45(10), 1995–2002 (2019)
Zhao, W., et al.: Hardware-in-the-loop simulation platform for fault diagnosis of rocket engines. In: 2019 IEEE 10th International Conference on Mechanical and Aerospace Engineering (ICMAE). IEEE (2019)
Acknowledgment
This work is funded by the National Science and Technology Major Project of China (No. J2019-V-0003-0094).
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
He, Jl., Guo, Yq., Liu, Ly., Zhao, Wl., Dong, Yh. (2023). Design of Multivariable Control System for Variable Cycle Engine and Hardware-in-the-Loop Simulation. In: Yan, L., Duan, H., Deng, Y. (eds) Advances in Guidance, Navigation and Control. ICGNC 2022. Lecture Notes in Electrical Engineering, vol 845. Springer, Singapore. https://doi.org/10.1007/978-981-19-6613-2_422
Download citation
DOI: https://doi.org/10.1007/978-981-19-6613-2_422
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-19-6612-5
Online ISBN: 978-981-19-6613-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)