TY - GEN
T1 - Optimization of aircraft flight control system based on an improved MOPSO algorithm
AU - Bi, Kejun
AU - Liu, Baoning
AU - Zhang, Weiguo
AU - Nie, Rui
PY - 2011
Y1 - 2011
N2 - With regard to the disadvantage of the basic particle swarm optimization algorithm trapped into the local optimal easily, an improved multi-objective particle swarm optimization (MOPSO) is proposed. Firstly, a method of initial population assignment which based on the uniform design is adopted. And it could make the initial population distribute as evenly as possible in the whole decision space. Secondly, the improved generation distance index is used as the judging condition when the algorithm trapped into the local optimal, and the chaos mutation operator is adopted to jump out the local optimal. Additionally, a new adaptive inertia weight is used to maintain diversity of population. Finally, the improved algorithm is applied to design the longitudinal control system of a certain type of aircraft. The results of the numerical simulation show the effectiveness of the improved algorithm.
AB - With regard to the disadvantage of the basic particle swarm optimization algorithm trapped into the local optimal easily, an improved multi-objective particle swarm optimization (MOPSO) is proposed. Firstly, a method of initial population assignment which based on the uniform design is adopted. And it could make the initial population distribute as evenly as possible in the whole decision space. Secondly, the improved generation distance index is used as the judging condition when the algorithm trapped into the local optimal, and the chaos mutation operator is adopted to jump out the local optimal. Additionally, a new adaptive inertia weight is used to maintain diversity of population. Finally, the improved algorithm is applied to design the longitudinal control system of a certain type of aircraft. The results of the numerical simulation show the effectiveness of the improved algorithm.
KW - chaos mutation
KW - flight control system
KW - multi-objective particle swarm optimization
KW - uniform design
UR - http://www.scopus.com/inward/record.url?scp=80955135842&partnerID=8YFLogxK
U2 - 10.1109/ICECENG.2011.6057040
DO - 10.1109/ICECENG.2011.6057040
M3 - 会议稿件
AN - SCOPUS:80955135842
SN - 9781424481637
T3 - 2011 International Conference on Electrical and Control Engineering, ICECE 2011 - Proceedings
SP - 4842
EP - 4845
BT - 2011 International Conference on Electrical and Control Engineering, ICECE 2011 - Proceedings
T2 - 2nd Annual Conference on Electrical and Control Engineering, ICECE 2011
Y2 - 16 September 2011 through 18 September 2011
ER -