TY - GEN
T1 - Computing of flight envelope using modified particle swarm optimization algorithm
AU - Zhu, Sibin
AU - Li, Guixian
AU - Han, Junwei
PY - 2010
Y1 - 2010
N2 - A novel method, modified particle swarm optimization algorithm, is proposed to compute flight envelope in this paper. According to the principle of thrust method, the problem of solving flight envelope is converted into searching the optimal solution by the particle swarm optimization algorithm (PSO). Combined with adaptive inertia weight factor, the standard PSO algorithm is modified. Applying the modified PSO algorithm, the flight envelope is solved. Numerical simulations results illustrate that the search algorithm is feasible and efficient for solving flight envelop.
AB - A novel method, modified particle swarm optimization algorithm, is proposed to compute flight envelope in this paper. According to the principle of thrust method, the problem of solving flight envelope is converted into searching the optimal solution by the particle swarm optimization algorithm (PSO). Combined with adaptive inertia weight factor, the standard PSO algorithm is modified. Applying the modified PSO algorithm, the flight envelope is solved. Numerical simulations results illustrate that the search algorithm is feasible and efficient for solving flight envelop.
KW - Flight envelope
KW - Particle swarm optimization
KW - Thrust method
KW - Trajectory optimization
UR - http://www.scopus.com/inward/record.url?scp=77953080159&partnerID=8YFLogxK
U2 - 10.1109/CAR.2010.5456844
DO - 10.1109/CAR.2010.5456844
M3 - 会议稿件
AN - SCOPUS:77953080159
SN - 9781424451937
T3 - CAR 2010 - 2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics
SP - 291
EP - 294
BT - CAR 2010 - 2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics
T2 - 2010 2nd International Asia Conference on Informatics in Control, Automation and Robotics, CAR 2010
Y2 - 6 March 2010 through 7 March 2010
ER -