Title :
Ant colony optimization based control allocation for fighter with multiple effectors
Author :
Song Xiao-qi ; Liu Chun-Sheng ; Li Li-rong
Author_Institution :
Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
Abstract :
Aiming at the optimum allocation problem of redundancy for fighter with multiple effectors and considering the advantage of ant colony optimization (ACO) in optimization, a new control allocation (CA) strategy based on ACO is proposed. According to the mathematical model for CA problem, optimization goals and constraints are provided for continuous space optimization. By extending ACO algorithm to the continuous space, the best combination of effectors will be searched for. The simulation result shows that an effective schedule can be found with the help of ACO algorithm and optimization goals will be achieved as well.
Keywords :
ant colony optimisation; end effectors; military aircraft; redundancy; ACO algorithm; CA problem; ant colony optimization based control allocation; continuous space optimization; fighter; mathematical model; multiple effector; redundancy; Aerospace electronics; Ant colony optimization; Educational institutions; Electronic mail; MATLAB; Optimization; Resource management; Ant colony optimization (ACO); Continuous space; Control allocation (CA); Multiple effectors;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6896454