蒋克荣,王治森,孙骏.汽车ABS轮速信号处理过程的神经网络模型[J].农业机械学报,2008,39(1):1-3.
.[J].Transactions of the Chinese Society for Agricultural Machinery,2008,39(1):1-3.
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汽车ABS轮速信号处理过程的神经网络模型   [下载全文]
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DOI:10.3969/j.issn.1000-1298.[year].[issue].[sequence]
中文关键词:  汽车  防抱死制动系统  轮速信号  数学模型  BP神经网络
基金项目:
蒋克荣  王治森  孙骏
合肥工业大学
中文摘要:为消除干扰信号对车轮轮速信号的影响,保证ABS的有效控制,利用BP神经网络的非线性映射功能,通过对标准信号滤波样本(由小波变换获得)的学习,建立起从信号输入到信号输出的BP神经网络模型,该模型可以把滤波过程通过权值和阈值集中存储和记忆,从而通过网络的联想能力来实现滤波和信号处理。利用相关的仿真试验数据验证了所建模型的正确性。
Key Words:
Abstract:To remove the effects of interferential signal on automobile wheel speed signal and guarantee the effectual control of ABS, this paper made use of the non-linear mapping capability of BP neural network, and established a BP neural network model from input signal to export signal by learning from normal signal filtering samples (obtained from wavelet transform). This model could store and memorize filtering process through weight values and thresholds, and then signal filtering and processing could be realized through the envision of the neural network. Finally, the simulated results proved that the model is valid and suitable.

Transactions of the Chinese Society for Agriculture Machinery (CSAM), in charged of China Association for Science and Technology (CAST), sponsored by CSAM and Chinese Academy of Agricultural Mechanization Science(CAAMS), started publication in 1957. It is the earliest interdisciplinary journal in Chinese which combines agricultural and engineering. It always closely grasps the development direction of agriculture engineering disciplines and the published papers represent the highest academic level of agriculture engineering in China. Currently, nearly 8,000 papers have been already published. There are around 3,000 papers contributed to the journal each year, but only around 600 of them will be accepted. Transactions of CSAM focuses on a wide range of agricultural machinery, irrigation, electronics, robotics, agro-products engineering, biological energy, agricultural structures and environment and more. Subjects in Transactions of the CSAM have been embodied by many internationally well-known index systems, such as: EI Compendex, CA, CSA, etc.

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