Transactions of Materials and Heat Treatment

Title：Pressing displacement monitoring and error compensation for roller press based on magnetostrictive sensor

Authors：

Unit：

KeyWords：

ClassificationCode：TN304

year,vol(issue):pagenumber：2019,44(4):106-112

Abstract：

Considering the wide range of equipment temperature variation and strong external disturbance when the roller press was working, the methods of pressing displacement monitoring and error compensation of roller press based on magnetostrictive sensor were studied, and the influence factors of magnetostrictive displacement sensor accuracy were studied by theoretical analysis and experimental means. Then, the working principle of magnetostrictive displacement sensor was analyzed. Based on the practical experience of sensor, it was determined that the external environment interference was mainly caused by the change of environment temperature and the influence of electromagnetic interference, and the mechanism of magnetostrictive displacement sensor affected by temperature change and electromagnetic interference was analyzed theoretically. Furthermore, the errors caused by temperature change and electromagnetic interference were compensated by the least squares support vector machine compensation model. The results show that the measurement accuracy of magnetostrictive displacement sensor is greatly affected by environment temperature and electromagnetic interference, and the influences of temperature change and electromagnetic interference on the sensor accuracy can be reduced by the above compensation model.

Funds：

河北省教育厅资助科研项目(13214401D)

蔡明伟（1980-），男，硕士，实验师 E-mail：fengfengshaopaper@126.com 通讯作者：岳永哲（1979-），男，硕士，讲师 E-mail：13582169518@139.com

Reference：

[1]王飞伟,朱秦岭,杨鹏飞,等.磁致伸缩位移传感器在精锻机夹头中的应用[J].中国设备工程,2018,(18):201-203.

Wang F W, Zhu Q L, Yang P F, et al. Application of magnetostrictive displacement sensor in precision forging chuck [J]. China Plant Engineering, 2018, (18): 201-203.

[2]杜敏杰，黄雪，李隽，等. 挖掘机斗杆载荷谱测试方法及其数据处理[J]. 锻压技术，2017，42（8）：107-114.

Du M J，Huang X，Li J，et al. Test method and data processing for load spectrum of excavator bucket rod[J]. Forging & Stamping Technology，2017，42（8）：107-114.

[3]颜庆伟,赵玉龙,蒋庄德. 磁致伸缩液位传感器的电路设计及性能分析[J].传感技术学报,2008,21(5):777-780.

Yan Q W, Zhao Y L, Jiang Z D. Circuit design and performance analysis of magnetostrictive liquid level sensor [J]. Chinese Journal of Sensors and Actuators, 2008, 21(5): 777-780.

[4]代前国，周新志. 大位移磁致伸缩传感器的弹性波建模与分析[J].传感技术学报,2013,26(2):195-199.

Dai Q G, Zhou X Z. Modeling and analysis of elastic wave of large-range magnetostrictive displacement sensor [J]. Chinese Journal of Sensors and Actuators, 2013, 26 (2): 195-199.

[5]王峥,常晓明, 脇若弘之. 长线磁致伸缩位移传感器的磁极化强度模型[J].传感技术学报,2010,23(8):1075-1078.

Wang Z, Chang X M, Hiroyuki Wakiwaka. Magnetic pole intensity model of magnetostrictive position sensor [J]. Chinese Journal of Sensors and Actuators, 2010, 23 (8): 1075-1078.

[6]陶若杰,赵辉,刘伟文,等. 双丝差动型磁致伸缩位移传感器结构设计[J].传感技术学报,2010,23(6):799-802.

Tao R J, Zhao H, Liu W W, et al. Designment of bi-waveguide differential magnetostrictive displacement sensor [J]. Chinese Journal of Sensors and Actuators, 2010, 23 (6): 799-802.

[7]李学胜,魏韶辉,孙颖奇,等.磁致伸缩位移传感器的设计与实现[J].水电与抽水蓄能,2018,4(1):116-119.

Li X S, Wei S H, Sun Y Q, et al. Design and implementation of magnetostrictive displacement sensor [J]. Hydropower and Pumped Storage, 2018, 4(1): 116-119.

[8]陈晓军. CVC冷轧机工作辊垂直-水平耦合振动分析[J]. 锻压技术，2017，42（9）：91-96.

Chen X J. Analysis on vertical and horizontal coupling vibration for working roll in CVC cold rolling mill[J]. Forging & Stamping Technology，2017，42（9）：91-96.

[9]曾雷.磁致伸缩液位计信号调理电路设计与仿真分析[J].电工技术,2018, (9):83-86.

Zeng L .Design and simulation analysis of signal circuit for magnetostrictive liquidometer[J].Electric Engineering, 2018, (9): 83-86.

[10]李永波,胡旭东,曾宗云. 温度对磁致伸缩液位传感器测量精度的影响[J].工业仪表与自动化装置,2007,(6):11-13.

Li Y B, Hu X D, Zeng Z Y. The temperature effect on the measuring accuracy of a magnetostrictive liquid lever sensor [J]. Industrial Instrumentation & Automation, 2007, (6): 11-13.

[11]王建，杨秀双，刘来员.机电专业新技术普及丛书：变频器实用技术(西门子) [M].北京：机械工业出版社，2012.

Wang J, Yang X S, Liu L Y. Series on New Technologies Popularization for Mechatronics: Inverter Practical Technology (Siemens) [M]. Beijing: China Machine Press, 2012.

[12]Vapnik V N. The Nature of Statistical Learning Theory [M]. New York: Spring,1995.

[13]Suykens J A K, Vandewalle J. Least squares support vector machine classifiers[J]. Neural Processing Letters, 1999, 3(9): 293-300.

[14]郑志成,徐卫亚,徐飞,等.基于混合核函数PSO-LSSVM的边坡变形预测[J].岩土力学,2012,33(5):1421-1426.

Zheng Z C, Xu W Y, Xu F, et al. Forecasting of slope displacement based on PSO-LSSVM with mixed kernel [J]. Rock and Soil Mechanics, 2012, 33 (5): 1421-1426.

[15]Kennedy J, Eberhart R. Particle swarm optimization[A]. Proceedings of the 1995 IEEE International Conference on Neural Networks[C]. New Jersey: Piscataway, 1995.

[16]王莉莉,陈国彬,李一龙,等.基于CPSO-LSSVM的汽轮机热耗率软测量模型[J].动力工程学报,2018,38(9):706-712.

Wang L L, Chen G B, Li Y L, et al. Soft-sensing model of steam turbine heat consumption rate based on CPSO-LSSVM [J].Journal of Power Engineering, 2018, 38 (9): 706-712.

[17]张拓,王建平.基于CQPSO-LSSVM的网络入侵检测模型[J].计算机工程与应用,2015,51(2):113-116.

Zhang T, Wang J P. Network intrusion detection based on cooperative quantum-behaved particle swarm algorithm and least square support vector machine [J].Computer Engineering and Application, 2015,51 (2): 113-116.

Service：

【This site has not yet opened Download Service】【Add Favorite】