DocumentCode :
2259427
Title :
A modified weighted pseudo-inverse control allocation using genetic algorithm
Author :
Shao, Xingyue ; Liang, Zixuan ; Chen, Bai ; Liu, Cunjia
Author_Institution :
Science and Technology on Aircraft Control Laboratory, Beihang University, Beijing, China 100191
fYear :
2015
fDate :
28-30 July 2015
Firstpage :
5554
Lastpage :
5559
Abstract :
Control allocation is used to distribute the control command into multiple effectors without exceeding the saturations. A powerful control allocation algorithm could enhance the performance of the control system. This paper proposes a new control allocation methodology for the two desired moment problem. The proposed strategy is based on the weighted pseudo-inverse. It has high computational efficiency and easy structure, but could not give the optimal result. Genetic algorithm is used to optimize the weighted matrix for better allocation result. Furthermore, the plane of desired moment is divided into several parts and each part will be bound with one weighted matrix chosen by genetic algorithm. Multiple weighted matrices could guarantee better performance in each part than one constant matrix. To demonstrate the effectiveness of the algorithm, direct allocation and the standard weighted pseudo-inverse are used for comparison. Simulation results show that the newly proposed algorithm could obtain allocation results approximate to or identical with the optimal solutions.
Keywords :
Biological cells; Genetic algorithms; Optimization methods; Resource management; Sociology; Statistics; Control allocation; direct allication; genetic algorithm; weighted matrix; weighted pseudo-inverse;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (CCC), 2015 34th Chinese
Conference_Location :
Hangzhou, China
Type :
conf
DOI :
10.1109/ChiCC.2015.7260507
Filename :
7260507
Link To Document :
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