2015 AModifiedWeightedPseudoInverseC

• (Shao et al., 2015) ⇒ Xingyue Shao, Zixuan Liang, Bai Chen, and Cunjia Liu. (2015). “A Modified Weighted Pseudo-inverse Control Allocation Using Genetic Algorithm.” In: Proceedings of 34th Chinese Control Conference (CCC 2015).. doi:10.1109/ChiCC.2015.7260507

Subject Headings: Pseudo-Inverse Algorithm; Weighted Pseudo-Inverse Algorithm, Modified Weighted Pseudo-Inverse Algorithm.

Cited By

• Google Scholar: 1 citation(s) [1]
• Semantic Scholar: 0 citation(s) [2]
• IEEE: 1 citation [3]

Quotes

Author Keywords

• Control allocation; direct allication; weighted pseudo-inverse; genetic algorithm; weighted matrix

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.

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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 Pseudo-inverse Control Allocation Using Genetic Algorithm				10.1109/ChiCC.2015.7260507		2015