NDLI: New control allocation algorithm for three dimension problem based on genetic algorithm

Content Provider	IEEE Xplore Digital Library
Author	Shao Xingyue Ren Zhang Wang Ruolin
Copyright Year	2014
Description	Author affiliation: Sch. of Software, Beihang Univ., Beijing, China (Wang Ruolin) \|\| Sci. & Technol. Control Lab., Beihang Univ., Beijing, China (Shao Xingyue; Ren Zhang)
Abstract	Modern aircrafts are equipped with more control effectors to enhance the reliability and survivability. Control allocation is used to deliver the virtual control moments to redundant control effectors. Due to the physical constrains and aerodynamic considerations, each control effector has some constrains and the control allocation becomes more complicated. A new control allocation algorithm based on weighted pseudo-inverse is proposed in this paper. Weighted pseudo-inverse is a control allocation method with easy structure and high computational efficiency, but it could not give out the optimal result. Genetic algorithm is a randomized search algorithm. In this paper, it will be used to optimize the weighting matrix to achieve maximum attainable moment set. To enhance the performance of the algorithm, the space of the desired moment will be divided into several parts and each part will get one optimal weighting matrix obtained by genetic algorithm. Multiple weighting matrices could guarantee better performance in each part than one weighting matrix. Direct allocation is used to be contrast to demonstrate the effectiveness of the algorithm. Simulation results show that the new proposed algorithm could achieve much better performance than the traditional weighted pseudo-inverse method.
Starting Page	3766
Ending Page	3770
File Size	202861
Page Count	5
File Format	PDF
ISBN	9789881563873
ISSN	19341768
DOI	10.1109/ChiCC.2014.6895566
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-28
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	TCCT, CAA
Subject Keyword	Algorithm design and analysis Weighted pseudo-inverse Heuristic algorithms Genetic algorithm Aerodynamics Educational institutions Electronic mail Resource management Direct allocation Genetic algorithms Control allocation
Content Type	Text
Resource Type	Article

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