DocumentCode :
2251984
Title :
Computing of flight envelope using modified particle swarm optimization algorithm
Author :
Zhu Sibin ; Guixian, Li ; Junwei, Han
Author_Institution :
Sch. of Mechatron. Eng., Harbin Inst. of Technol., Harbin, China
Volume :
1
fYear :
2010
fDate :
6-7 March 2010
Firstpage :
291
Lastpage :
294
Abstract :
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.
Keywords :
aerospace; numerical analysis; particle swarm optimisation; search problems; transportation; adaptive inertia weight factor; flight envelope computing; numerical simulations; optimal solution; particle swarm optimization algorithm; search algorithm; standard PSO algorithm; Aerospace control; Aircraft manufacture; Aircraft propulsion; Evolutionary computation; Numerical simulation; Optimization methods; Particle swarm optimization; Robotics and automation; Space vehicles; Vehicle dynamics; flight envelope; particle swarm optimization; thrust method; trajectory optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location :
Wuhan
ISSN :
1948-3414
Print_ISBN :
978-1-4244-5192-0
Electronic_ISBN :
1948-3414
Type :
conf
DOI :
10.1109/CAR.2010.5456844
Filename :
5456844
Link To Document :
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