Multiple Criteria Decision Making Research of Flight Control System Design

Abstract:

Flight control system; multiple criteria decision making; multiple objective decision making; multiple attribute decision making; neural network; mean impact value index. Abstract. It is complex and difficult to tune the parameters of the flight controller. To solve such problem, a multiple objective decision making (MODM) method by using the reference model which is built based on the criteria, is proposed. In order to resolve defects of the multiple attribute decision making (MADM) that the arbitrary of the subjective attribute weights and ignoring the objective message of the objective attribute weights, a subjective attribute weights based on the BP neural network by using the MIV (mean impact value) index is proposed. Finally, a combining method based on the TOPSIS is used to give the final attribute weights. The simulation results show that the method could obtain a set of trade-off solutions which satisfy the requirements of the MODM and could tune the controller effectively.

• Periodical: Advanced Materials Research (Volume 648)
• Pages: 334-343
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.648.334
• Online since: January 2013
• Authors: Rui Nie, Bai Nan Zhang, Bao Ning Liu, Wei Guo Zhang, Jing Yuan
• Keywords: Flight Control System, Mean Impact Value Index, Multiple Attribute Decision Making, Multiple Criteria Decision Making, Multiple Objective Decision Making, Neural Network (NN)

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