Real-time handling system for in-vehicle electric motor based on Hall sensor

ZHANG Wei; ZHANG Feng-deng

doi:10.13873/j.1000-97872013.03.011

Chinese

您当前的位置：

首页 >

文章列表页 >

Real-time handling system for in-vehicle electric motor based on Hall sensor

更新时间：2025-09-11

- Real-time handling system for in-vehicle electric motor based on Hall sensor
- Vol. 32, Issue 3, Pages: 97-99+103(2013)
- 作者机构：
  
  上海理工大学光电信息与计算机工程学院
- 作者简介：
- 基金信息：
- DOI：10.13873/j.1000-97872013.03.011
  CLC： TM32;TP212
- Published：2013
- 稿件说明：
移动端阅览
[1]张玮,张凤登.基于霍尔传感器的车载电动机实时处理系统[J].传感器与微系统,2013,32(03):97-99+103.

ZHANG Wei, ZHANG Feng-deng. Real-time handling system for in-vehicle electric motor based on Hall sensor[J]. 2013, 32(3): 97-99+103.
[1]张玮,张凤登.基于霍尔传感器的车载电动机实时处理系统[J].传感器与微系统,2013,32(03):97-99+103. DOI： 10.13873/j.1000-97872013.03.011.

ZHANG Wei, ZHANG Feng-deng. Real-time handling system for in-vehicle electric motor based on Hall sensor[J]. 2013, 32(3): 97-99+103. DOI： 10.13873/j.1000-97872013.03.011.

摘要

提出了一种可处理异常的车载电动机实时测控系统。霍尔传感器信号既作为无刷直流电动机的电子换向控制信号

同时又是发现和处理电机异常的依据。为了进行基于FlexRay网络的实时车内通信

采用了一片MC9S12XF512单片机与2个总线收发器TJA1080A。所使用的异常处理算法是一种可靠的故障检测与处理方法

按照此算法

来自系统的控制命令与电机的异常工况将在特定情形下协调决定电机的工作状态。给出了算法流程图和实验仿真曲线

验证了该算法的可行性。

Abstract

A special kind of real-time monitoring and control system for in-vehicle electric motor is presented.Signals from the Hall sensors not only act as electronic changing-over control sigal of the brushless DC motor

but also provide the basis for discovering and handling the abnormal behavior of the motor.For real-time in-vehicle communication

which is realized by FlexRay network

it contains a microcontroller MC9S12XF512 and two FlexRay transceivers TJA 1080A.The control command from the system and the abnormal phenomenon of the motor will determine the motor work status in different circumstances according to the abnormality handling algorithm

which is used for fault detection and treatment.The flow chart of this algorithm and the simulation curve is given

the feasibility of this algorithm is verified.

关键词

Keywords

references

基于正交坐标变换的永磁无刷直流电机转速估计方法 [J]. 吴元元,邓智泉,王晓琳,凌星,马晓涵. 中国电机工程学报 . 2012(06)

基于定子电流法监测无刷直流电动机转子动态偏心的故障模型仿真研究 [J]. 赵向阳,葛文韬. 中国电机工程学报 . 2011(36)

无刷直流电机转矩观测与电感自适应辨识 [J]. 郭鸿浩,周波,左广杰,许恩利,唐国芬. 中国电机工程学报 . 2011(33)

霍尔传感器在直流电机转速测量中的应用研究 [J]. 郭清,王元昔. 传感器与微系统 . 2011(07)

无刷直流电机无磁链观测直接转矩控制 [J]. 杨建飞,胡育文. 中国电机工程学报 . 2011(12)

霍尔效应传感器的特殊应用 [J]. 邱召运,李述香,范应元,刘淇涛,姜广东. 电子技术 . 2009(04)

基于TMS320F2812无刷直流电机控制系统设计 [J]. 郑浩鑫,郑宾,李建民. 国外电子元器件 . 2008(11)

下一代车载网络FlexRay及其应用研究 [J]. 王锴,王宏,徐皑冬. 计算机工程与应用 . 2008(20)

新型霍尔传感器在电流检测中的应用 [J]. 李亮,阙沛文,陈亮. 仪表技术与传感器 . 2005(04)

无刷直流电机控制系统[M]. 科学出版社 , 夏长亮, 2009

直流无刷电动机原理及应用[M]. 机械工业出版社 , 张琛编著, 2004

Views

174

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Sensorless low speed control of fan load based on sliding mode observer

Improved multi-Hall sensor BLDCM torque ripple suppression method

Application and research of miniaturized Hall sensors in smart contactors

Improved sensor fault diagnosis and fault tolerance of neural network

Control system of BLDC based on STM32

Related Author

ZHENG Fuqiang

HAN Qiang

ZHANG Jihua

WANG Xiaodong

LI Weixin

WU Jianwen

YUAN Yang

CHEN Ruang

Related Institution

School of Mechanical Engineering,Donghua University

Faculty of Eelctrical ＆ Control Engineering,Liaoning Technical University

School of Automation Science and Electrical Engineering,Beihang University

School of Electric and Electronic Engineering,Harbin University of Science and Technology

School of Electronic Information and Electrical Engineering,Shanghai Jiao Tong University

⁰