TY - GEN
T1 - Optimization of Aeroengine Robust Controller Based on Adaptive Simulated Annealing Genetic Algorithm
AU - Shao, Wenxin
AU - Gou, Linfeng
AU - Zeng, Xianyi
AU - Shen, Yawen
AU - Yang, Jiang
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/7
Y1 - 2020/7
N2 - In this paper, the H8 robust controller is designed based on dual external variable cycle engine with core driven fan stage. The objective function is to calculate according to the performance requirements of the aeroengine control system, and the weight function matrix of the controller is optimized by the adaptive simulated annealing genetic algorithm. The H8 robust controller based on adaptive simulated annealing genetic algorithm for variable cycle engine is designed to avoid the drawbacks that the traditional method relies heavily on the designer's insufficient experience when selecting the weight function matrix, and solve the problem that it is time-consuming and laborious to select the weight function matrix through repeated tests. The simulation results of the nominal points and the selected points in the flight envelope show that this method can make the control system obtain better robust stability and robust performance, as well as strong anti-interference ability.
AB - In this paper, the H8 robust controller is designed based on dual external variable cycle engine with core driven fan stage. The objective function is to calculate according to the performance requirements of the aeroengine control system, and the weight function matrix of the controller is optimized by the adaptive simulated annealing genetic algorithm. The H8 robust controller based on adaptive simulated annealing genetic algorithm for variable cycle engine is designed to avoid the drawbacks that the traditional method relies heavily on the designer's insufficient experience when selecting the weight function matrix, and solve the problem that it is time-consuming and laborious to select the weight function matrix through repeated tests. The simulation results of the nominal points and the selected points in the flight envelope show that this method can make the control system obtain better robust stability and robust performance, as well as strong anti-interference ability.
KW - adaptive simulated annealing genetic algorithm
KW - H robust control
KW - variable cycle engine
UR - https://www.scopus.com/pages/publications/85092026677
U2 - 10.1109/ICMAE50897.2020.9178869
DO - 10.1109/ICMAE50897.2020.9178869
M3 - 会议稿件
AN - SCOPUS:85092026677
T3 - ICMAE 2020 - 2020 11th International Conference on Mechanical and Aerospace Engineering
SP - 134
EP - 139
BT - ICMAE 2020 - 2020 11th International Conference on Mechanical and Aerospace Engineering
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 11th International Conference on Mechanical and Aerospace Engineering, ICMAE 2020
Y2 - 14 July 2020 through 17 July 2020
ER -