BP artificial neural network was applied in the research of identifying dynamic force of hydro-pneumatic suspension. A dynamic model of 1/4 vehicle with hydro-pneumatic suspension was built and a neural network was established based on this suspension model. Dynamic force of hydro-pneumatic suspension was identified by input and output data of hydro-pneumatic suspension. Identifying results of neural network and equivalent linearity were compared. Identifying results of neural network are better than equivalent linearity. It provided a new method for calculation, designing and active controlling of hydro-pneumatic suspension.
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杨斌,范文杰,张子达,陆爽.油气悬架动态力的识别[J].农业机械学报,2007,38(4):16-18.[J]. Transactions of the Chinese Society for Agricultural Machinery,2007,38(4):16-18.