Research on Adaptive Dual-Mode Switch Control Strategy for Vehicle Maglev Flywheel Battery

Hui Gao, Ying-Jun Wu and Jing-Jin Shen

Mathematical Problems in Engineering, 2015, vol. 2015, 1-9

Abstract:

Because of the jamming signal is real-time changeable and control algorithm cannot timely tracking control flywheel rotor, this paper takes vehicle maglev flywheel battery as the research object. One kind of dual-model control strategy is developed based on the analysis of the vibration response impact of the flywheel battery control system. In view of the complex foundation vibration problems of electric vehicles, the nonlinear dynamic simulation model of vehicle maglev flywheel battery is solved. Through analyzing the nonlinear vibration response characteristics, one kind of dual-mode adaptive hybrid control strategy based on control and unbalance displacement feed-forward compensation control is presented and a real-time switch controller is designed. The reliable hybrid control is implemented, and the stability in the process of real-time switch is solved. The results of this project can provide important basic theory support for the research of vehicle maglev flywheel battery control system.

Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jnlmpe:327347

DOI: 10.1155/2015/327347

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