Difference between revisions of "2015 AModifiedWeightedPseudoInverseC"
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Revision as of 13:55, 13 July 2019
 (Shao et al., 2015) ⇒ Xingyue Shao, Zixuan Liang, Bai Chen, and Cunjia Liu. (2015). “A Modified Weighted Pseudoinverse Control Allocation Using Genetic Algorithm.” In: Proceedings of 34th Chinese Control Conference (CCC 2015).. doi:10.1109/ChiCC.2015.7260507
Subject Headings: PseudoInverse Algorithm; Weighted PseudoInverse Algorithm
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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 pseudoinverse. 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 pseudoinverse are used for comparison. Simulation results show that the newly proposed algorithm could obtain allocation results approximate to or identical with the optimal solutions.
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Author  volume  Date Value  title  type  journal  titleUrl  doi  note  year  

2015 AModifiedWeightedPseudoInverseC  Xingyue Shao Zixuan Liang Bai Chen Cunjia Liu  A Modified Weighted Pseudoinverse Control Allocation Using Genetic Algorithm  10.1109/ChiCC.2015.7260507  2015 
Author  Xingyue Shao +, Zixuan Liang +, Bai Chen + and Cunjia Liu + 
doi  10.1109/ChiCC.2015.7260507 + 
title  A Modified Weighted Pseudoinverse Control Allocation Using Genetic Algorithm + 
year  2015 + 