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《China Mechanical Engineering》 2018-07
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Applications of Advanced PSO-Elman in Engine Crankshaft Pulse Width Predictions

MENG Rongge;ZHANG Chunhua;LIANG Jichao;School of Automobile,Chang'an University;Shaanxi Heavy-duty Automobile Co.,Ltd.;  
Aimed at the unpredictability of the engine crankshaft pulse widths,advanced PSOElman predictive method was put forward.The model of pulse width predictions was built by Elman neural network,according to the generation of network trapped into the local optimums and the iterations,the inertia weight were updated and the PSO was improved.The Elman weight and threshold were optimized by advanced PSO.Compared with the least squares,Elman and PSO-Elman by predicting the YC6 G270-30 crankshaft pulse widths,the advanced PSO has simple structures and fast convergences.At the same time,the validity and practicability of the proposed method were verified.
【Fund】: 陕西省工业科技攻关资助项目(2016GY-002)
【CateGory Index】: TK403;TP18
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