TY - GEN
T1 - Optimization of aero-engine h-infinity robust controller based on quantum genetic algorithm
AU - Zhang, Meng
AU - Gou, Linfeng
AU - Jiang, Zongting
AU - Sun, Chujia
N1 - Publisher Copyright:
© 2021 IEEE.
PY - 2021/7/16
Y1 - 2021/7/16
N2 - For the problems of strong uncertainty and multi-variable coupling characteristics in the aero-engine control system, a multi-variable H-infinity robust controller is designed based on the mixed sensitivity method. Then for the problem that the selection of the weight function matrices in the H-infinity robust controller design process relies on engineering experience, which result that the designed controller is not optimal, Quantum Genetic Algorithm (QGA) is used to optimize the selection of the weight function matrices to optimize the design of the H-infinity robust controller. In this paper, a new H-infinity robust controller optimized by QGA is designed for aero-engine model. The performance of the H-infinity robust controller before and after optimization is compared through simulation, which shows that the steady-state error and adjustment time of the optimized controller are reduced, and the decoupling effect is also enhanced.
AB - For the problems of strong uncertainty and multi-variable coupling characteristics in the aero-engine control system, a multi-variable H-infinity robust controller is designed based on the mixed sensitivity method. Then for the problem that the selection of the weight function matrices in the H-infinity robust controller design process relies on engineering experience, which result that the designed controller is not optimal, Quantum Genetic Algorithm (QGA) is used to optimize the selection of the weight function matrices to optimize the design of the H-infinity robust controller. In this paper, a new H-infinity robust controller optimized by QGA is designed for aero-engine model. The performance of the H-infinity robust controller before and after optimization is compared through simulation, which shows that the steady-state error and adjustment time of the optimized controller are reduced, and the decoupling effect is also enhanced.
KW - Aero-engine
KW - H-infinity robust control
KW - Quantum genetic algorithm
UR - http://www.scopus.com/inward/record.url?scp=85115395031&partnerID=8YFLogxK
U2 - 10.1109/ICMAE52228.2021.9522430
DO - 10.1109/ICMAE52228.2021.9522430
M3 - 会议稿件
AN - SCOPUS:85115395031
T3 - 2021 12th International Conference on Mechanical and Aerospace Engineering, ICMAE 2021
SP - 225
EP - 231
BT - 2021 12th International Conference on Mechanical and Aerospace Engineering, ICMAE 2021
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 12th International Conference on Mechanical and Aerospace Engineering, ICMAE 2021
Y2 - 16 July 2021 through 19 July 2021
ER -