Abstract
Complex and strong nonlinearity are important characteristics of aero-engines, and they often work in harsh environments. How to design a simple, stable, and small-calculation nonlinear controller applying appropriate nonlinear theory is a great challenge. Aiming at this challenge, a controller design method based on Nonlinear Generalized Minimum Variance (NGMV) be proposed by this paper. The NGMV controller of an aero-engine is designed and implemented, and its excellent control performance is proved by comparison with the traditional PI controller.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lichtsinder, M., Levy, Y.: Jet engine model for control and real-time simulations, 745–753 (2006)
Wang, J., Ye, Z., Hu, Z.: Nonlinear control of aircraft engines using a generalized Gronwall-Bellman lemma approach. ASME. J. Eng. Gas Turb. Power 134(9), 09450 (2012). https://doi.org/10.1115/1.4007011
Sevcik, W.R., Stoner, B.L.: An analytical study of thermal barrier coated first stage blades in a JT9D engine (1978)
Clarke, D.W., Hastings-James, R.: Design of digital controllers for randomly disturbed systems. In: Proceedings of the Institution of Electrical Engineers, vol. 118, no. 10. IET Digital Library (1971)
Yu, B., Gao, Y., Wang, J.: Nonlinear control study on aircraft engine using a generalized minimum variance approach. Adv. Mech. Eng. 8(9), 1687814016667383 (2016)
Kalman, R.E.: A new approach to linear filtering and prediction problems, 35–45 (1960)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Du, X., Wang, X., Wang, J. (2022). Nonlinear Control Design of Aero-Engine Based on NGMV. In: Jia, Y., Zhang, W., Fu, Y., Yu, Z., Zheng, S. (eds) Proceedings of 2021 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering, vol 803. Springer, Singapore. https://doi.org/10.1007/978-981-16-6328-4_20
Download citation
DOI: https://doi.org/10.1007/978-981-16-6328-4_20
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-6327-7
Online ISBN: 978-981-16-6328-4
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)