TY - GEN
T1 - The application of NGA based on referenced model in optimization of FCAS
AU - Shi, Jingping
AU - Zhang, Weiguo
AU - Li, Guangwen
AU - Liu, Xiaoxiong
PY - 2009
Y1 - 2009
N2 - As the rapid development of modern aircraft, control allocation technique is involved to the design of the plane. The allocator design becomes one of the most important parts of the flight control allocation system (FCAS) design, which makes the system more complicated. Allocator is strongly coupled with the controller, and the allocator parameters affects ones of the controller. In order to design the AFCS that has good quality, the allocator and controller must be designed together to get the system with desired performance. This is an optimizing problem. So the Niche genetic algorithm (NGA) based on referenced model is proposed to optimize the parameters of the allocator and controller. The algorithm efficiently optimizes the FCAS, and makes the system have the minimum signal tracking errors. Simulation results show that the performance of the system is satisfied.
AB - As the rapid development of modern aircraft, control allocation technique is involved to the design of the plane. The allocator design becomes one of the most important parts of the flight control allocation system (FCAS) design, which makes the system more complicated. Allocator is strongly coupled with the controller, and the allocator parameters affects ones of the controller. In order to design the AFCS that has good quality, the allocator and controller must be designed together to get the system with desired performance. This is an optimizing problem. So the Niche genetic algorithm (NGA) based on referenced model is proposed to optimize the parameters of the allocator and controller. The algorithm efficiently optimizes the FCAS, and makes the system have the minimum signal tracking errors. Simulation results show that the performance of the system is satisfied.
UR - http://www.scopus.com/inward/record.url?scp=70449448145&partnerID=8YFLogxK
U2 - 10.1109/CSO.2009.134
DO - 10.1109/CSO.2009.134
M3 - 会议稿件
AN - SCOPUS:70449448145
SN - 9780769536057
T3 - Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009
SP - 945
EP - 948
BT - Proceedings of the 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009
T2 - 2009 International Joint Conference on Computational Sciences and Optimization, CSO 2009
Y2 - 24 April 2009 through 26 April 2009
ER -