摩-磁复合制动性能及恒力矩制动控制研究

doi:10.3901/JME.2019.05.156

机械工程学报 ›› 2019, Vol. 55 ›› Issue (5): 156-165.doi: 10.3901/JME.2019.05.156

摩-磁复合制动性能及恒力矩制动控制研究

鲍久圣^1,2, 纪洋洋¹, 阴妍¹, 黄山¹

1. 中国矿业大学机电工程学院徐州 221116;
2. 中国矿业大学江苏省矿山智能采掘装备协同创新中心徐州 221008

收稿日期:2018-03-04 修回日期:2018-07-25 出版日期:2019-03-05 发布日期:2019-03-05
通讯作者: 鲍久圣(通信作者),男,1979年出生,博士,教授,主要研究方向为摩擦学与制动技术。E-mail:cumtbjs@126.com
基金资助:
国家自然科学基金（51875561）、摩擦学国家重点实验室开放基金（SKLTKF13B09）和江苏省高校优势学科建设工程资助项目。

Braking Performance and Constant Torque Controlling of Frictional-magnetic Compound Brake

BAO Jiusheng^1,2, JI Yangyang¹, YIN Yan¹, HUANG Shan¹

1. School of Mechanical and Electrical Engineering, China University of Mining and Technology, Xuzhou 221116;
2. Jiangsu Collaborative Innovation Center of Intelligent Mining Equipment, China University of Mining and Technology, Xuzhou 221008

Received:2018-03-04 Revised:2018-07-25 Online:2019-03-05 Published:2019-03-05

摘要/Abstract

摘要： 摩-磁复合制动将摩擦制动和磁力制动的优点有机结合起来，是一种很有前途的新型制动方式，但目前对摩-磁复合制动性能及其调控方法的研究还存在很大不足。利用摩-磁复合制动性能检测试验台，开展了有、无磁场作用下的模拟制动试验，分析了摩-磁复合制动性能的变化规律；提出制动过程恒力矩制动的控制目标，利用BP神经网络和模糊PID等智能技术分别设计建立了基于磁场的摩-磁复合制动性能智能调控方法；分别开展了常规摩擦制动试验和恒力矩制动试验，并对试验结果进行了分析。结果表明，通过输入制动压力和制动初速度两个参数，所建立的BP神经网络预测模型可以有效地预测摩擦制动力矩终值；通过降低制动力矩的波动幅值，所建立的模糊PID反馈调控法可以实现制动系统以近似恒力矩制动；相比常规的摩擦制动，摩-磁复合制动方式拥有更大的制动力矩和更短的制动时间，表现出更好的制动性能。

关键词: 恒力矩制动, 模糊PID, 摩-磁复合, 神经网络, 制动性能

Abstract: As a new type of braking, the frictional-magnetic compound brake could combine the advantages of both frictional braking and magnetic braking, which is considered as an excellent braking method. However, for the frictional-magnetic compound brake's braking performance and controlling method, few researches are studied in the past. Firstly, based on a frictional-magnetic compound brake tester, the braking performance under and without magnetic field are carried out respectively. The changing rules of braking performance are analysed by experiments. Secondly, on the basis of the changing rule of braking performance, a control target of the constant force moment brake of the braking process is proposed. The intelligent control method for braking performance of frictional-magnetic compound brake is designed and established by using BP neural network and fuzzy PID and other intelligent techniques. At last, conventional friction braking tests and the constant force moment brake tests are carried out respectively. The results show that the final prediction model of friction braking torque based on BP neural network can effectively predict the final value of friction braking torque according to working parameters:initial braking speed and braking pressure. The feedback control method based on fuzzy PID can effectively reduce the fluctuating amplitude of braking torque. The braking system is implemented to braking with an approximate constant brake torque. In the braking process of frictional-magnetic compound brake, the braking speed is greater, the braking time is shorter, and the braking performance is further improved.

Key words: braking performance, constant brake torque, frictional-magnetic compound, fuzzy PID, neural network

中图分类号:

TH117
TP183

鲍久圣, 纪洋洋, 阴妍, 黄山. 摩-磁复合制动性能及恒力矩制动控制研究[J]. 机械工程学报, 2019, 55(5): 156-165.

BAO Jiusheng, JI Yangyang, YIN Yan, HUANG Shan. Braking Performance and Constant Torque Controlling of Frictional-magnetic Compound Brake[J]. Journal of Mechanical Engineering, 2019, 55(5): 156-165.

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摩-磁复合制动性能及恒力矩制动控制研究

Braking Performance and Constant Torque Controlling of Frictional-magnetic Compound Brake

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