吉林大学学报(工学版) ›› 2014, Vol. 44 ›› Issue (3): 765-770.doi: 10.13229/j.cnki.jdxbgxb201403029

• 论文 • 上一篇    下一篇

基于大脑情感学习模型的步进电机控制系统

王帅夫1,2,刘景林1   

  1. 1.西北工业大学 自动化学院,西安 710072;
    2.长沙电力职业技术学院 电力工程系,长沙 410131
  • 收稿日期:2012-12-20 出版日期:2014-03-01 发布日期:2014-03-01
  • 作者简介:王帅夫(1983),男,博士研究生.研究方向:多步进电机协调控制.E-mail:scoff_2001@hotmail.com
  • 基金资助:
    陕西省科学技术研究发展计划项目(2007K05-06).

Stepping motor control system based on brain emotional learning model

WANG Shuai-fu1,2, LIU Jing-lin1   

  1. 1.School of Automation, Northwestern Polytechnical University, Xi'an 710072, China;
    2.Electric Power Engineering Department of Changsha Electric Power Technical College, Changsha 410131, China
  • Received:2012-12-20 Online:2014-03-01 Published:2014-03-01

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摘要： 为了优化两相混合式步进电机的速度控制,研究了步进电机强耦合磁场和时变参数对闭环控制系统的影响。依据步进电机运行原理和绕组反电势与转子位置的关系,提出了一种基于大脑情感学习模型的智能控制方法。该方法不依赖于被控对象的动态数学模型,因此避免了步进电机时变参数对模型准确性的影响。将该方法与常见的PID控制进行对比,结果表明:该方法能够更好地抑制运动过程中的抖动,加快电机的响应速度,提高速度跟踪精度,适用于对响应速度、精度和稳定性要求较高的场合。

关键词: 电气工程, 混合式步进电机, 大脑情感学习, 速度控制

Abstract: In order to optimize the speed control performance of two-phase hybrid stepping motor, the impacts of the strong-coupled magnetic field and the time-varying parameters on the closed-loop control system are explored. According to the operating principle of stepping motor and relationship between winding back electromotive force and rotor position, an intelligent control method is proposed based on brain emotional learning model. This method is independent to the dynamic mathematical model of the motor, thus eliminating the effects of the time-varying parameters. Compared with Proportional Integral Derivative (PID) control, the proposed method can more effectively inhibit the vibration, increase the speed of response and improve the speed tracking precision. This control method is suitable for the applications with high requirements on response speed, precision and stability.

Key words: electrical engineering, hybrid stepping motor, brain emotional learning(BEL), speed control

中图分类号: 

  • TM383.6
[1] 史敬灼, 徐殿国, 王宗培, 等. 二相混合式步进电动机矢量控制伺服系统[J]. 电机与控制学报, 2000,4(3):135-139.
Shi Jing-zhuo, Xu Dian-guo, Wang Zong-pei,et al. Vector control servo system for 2-Phase hybrid step motor[J]. Electric Machines and Control, 2000,4(3):135-139.
[2] Chen W D, Yung K L, Cheng K W. Profile tracking performance of a low ripple hybrid stepping motor servo drive[J]. Control Theory and Applications, 2003, 150(1):69-76.
[3] Chen W D, Yung K L, Cheng K W. Enhancing low-speed performance of hybrid stepping motor servo by ripple canceling technique: Electric Machines and Drives[C]∥International Conference on Electric Machines and Drives, Seattle, WA, 1999:147-149.
[4] Schweid S A, Lofthus R M, McInroy J E. Velocity regulation of stepper motors amidst constant disturbances[C]∥Proceedings of the IEEE Conference on Control Applications, NY, USA, 1995:1041-1046.
[5] Hasanien H M. FPGA implementation of adaptive ANN controller for speed regulation of permanent magnet stepper motor drives[J]. Energy Conversion and Management, 2011, 52(2):1252-1257.
[6] 曹建波,曹秉刚,王军平,等.基于RBF神经网络调节的电动车驱动和再生制动滑模控制[J]. 吉林大学学报:工学版, 2009,39(4):1019-1024.
Cao Jian-bo, Cao Bing-gang,Wang Jun-ping, et al. Sliding mode control for driving and regenerative braking of electric vehicle based on RBF neural network[J]. Journal of Jilin University(Engineering and Technology Edition),2009, 39(4):1019-1024.
[7] 韩建群, 郑萍. 永磁同步双转子/双定子电机转速的模糊控制[J]. 吉林大学学报:工学版, 2009,39(5):1252-1256.
Han Jian-qun, Zheng Ping. Fuzzy control of rotor speed in permanent magnet synchronous double-rotor/double-stator machine[J]. Journal of Jilin University(Engineering and Technology Edition), 2009, 39(5):1252-1256.
[8] Morén J B C. A computational model of emotional learning in the amygdale: From animals to animals 6[C]∥Proceedings of the 6th International Conference on the Simulation of Adaptive Behavior,Cambridge,2000:611-636.
[9] Daryabeigi E, Markadeh G A, Lucas C. Interior permanent magnet synchronous motor, with a developed brain emotional learning based intelligent controller[C]∥IEEE International Conference on Electric Machines and Drives,Miami, FL, 2009:1633-1640.
[10] Fard F T P, Shahgholian G, Rajabi A, et al. Brain emotional learning based intelligent controller for Permanent magnet synchronous motor[C]∥Proceedings of IPEC, Singapore, 2010:989-993.
[11] Panah P G, Shafiei A, Parsa P A, et al. Velocity control of a PMLSM using a brain emotional learning based intelligent control strategy[C]∥IEEE International Conference on System Engineering and Technology, Shah Alam, 2011:47-52.
[12] Daryabeigi E, Markadeh G A, Lucas C, et al. Switched reluctance motor (SRM) control, with the developed brain emotional learning based intelligent controller (BELBIC), considering torque ripple reduction[C]∥IEEE International Conference on Electric Machines and Drives, Miami, FL, 2009:979-986.
[13] Daryabeigi E, Emanian A, Namazi M M, et al. Torque ripple reduction of switched reluctance motor (SRM) drives, with emotional controller (BELBIC)[C]∥Twenty-Seventh Annual IEEE Applied Power Electronics Conference and Exposition, Orlando, FL, 2012: 1528-1535.
[14] Dehkordi B M, Parsapoor A, Moallem M, et al. Sensorless speed control of switched reluctance motor using brain emotional learning based intelligent controller[J]. Energy Conversion and Management, 2011, 52(1):85-96.
[15] Daryabeigi E, Markadeh G A, Lucas C. Simultaneously, speed and flux control of a induction motor, with brain emotional learning based intelligent controller (BELBIC)[C]∥IEEE International Conference on Electric Machines and Drives, Miami, FL,2009:894-901.
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