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基于无线传感器扭矩检测的轧机扭振前馈控制 被引量:3

Control of Torsional Vibration Based on Real Time Detection of Torque by Wireless Transducer
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摘要 针对轧机轧辊反复正反转咬钢抛钢受到突然强有力的冲击时扭振现象极为严重的情况,研究采用扭矩无线传感器实时采回负载干扰值,解决了现有的扭振抑制方法中采用扭振预估器计算扭振时容易出现偏差的问题;利用前馈能在扰动发生时提前做出干扰补偿的原理,在大型轧机交交变频调速系统定子转矩电流与转速双闭环的基础上,在转矩控制器的输入端加入负载扭矩扰动补偿,提前控制定子电流转矩分量而达到控制扭振的目的,并用Simulink对上述过程进行仿真。结果表明:基于无线传感的扭振前馈抑制方式对扭振的控制效果非常明显,几乎可以彻底消除扭振,更贴近实际。 The vibration in rolling process is inevitable problem,especially in the sudden strong impact and unloading.The vibration phenomenon is very serious.Through adopting the wireless sensor of torque to get the disturbance of vibration,it was solved the problem that the existing torsional vibration suppression method using the torsional vibration controller to calculate vibration always get the deviation.Based on the two closed loop in the AC electric drive system—torture current and speed loop,using the principle that the feed-forward of disturbance compensation can control the disturbance,the torque disturbance compensation in the torque controller was added to control the vibration before it happen.The Simulink was used to get the result of controlling vibration.The result shows that the measure of the torsional vibration feed-forward control based on real-time detection of the torque could effectively control the torsionai vibration.And the most important thing is these measures are close to the reality.
出处 《钢铁》 CAS CSCD 北大核心 2013年第7期44-48,共5页 Iron and Steel
基金 国家自然科学基金资助项目(61164018) 内蒙古自然科学基金资助项目(2012MS0911)
关键词 轧机 扭矩检测 扭振 前馈控制 无线传感器 rolling mill torque detection torsional vibrator feed-forward control wireless transducer
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  • 1ALERT. http://www.altersystem.org.
  • 2Bonnet P, Gehrke J, Seshadri P. Querying the physical world. IEEE Personal Communication, 2000,7(5):10-15.
  • 3Noury N, Herve T, Rialle V, Virone G, Mercier E. Monitoring behavior in home using a smart fall sensor. In: Proceedings of the IEEE-EMBS Special Topic Conference on Microtechnologies in Medicine and Biology. Lyon: IEEE Computer Society, 2000.607~610.
  • 4Sensor Webs. http://sensorwebs.jpl.nasa.gov/.
  • 5Shill E, Cho S, Ickes N, Min R, Sinha A, Wang A, Chandrakasan A. Physical layer driven protocol and algorithm design for energy-efficient wireless sensor networks. In: Proceedings of the ACM MobiCom 2001. Rome: ACM Press, 2001. 272-286.
  • 6Akyildiz I.F, Su W, Sankarasubramaniam Y, Cayirci E. Wireless sensor network: A survey. Computer Networks, 2002,38(4):393~422.
  • 7Asada G, Dong M, Lin TS, Newberg F, Pottle .G, Kaiser WJ, Marcy HO. Wireless integrated network sensors (WINS) for tactical information systems. In: Proceedings of the 1998 European Solid State Circuits Conference. New York: ACM Press, 1998. 15-20.
  • 8Sohrabi K, Pottie GJ. Performance of a novel self-organization protocol for wireless Ad hoc sensor networks. In: Proceedings of the IEEE 50th Vehicular Technology Conference. Amsterdam, 1999. 1222~1226.
  • 9Sinhua A, Chandrakasan A. Dynamic power management in wireless sensor network. IEEE Design and Test of Computer, 2001,18(2):62~74.
  • 10Lm C, Kim H, Ha S. Dynamic voltage scheduling technique for low-power multimedia application using buffers. In: Proceedings of the International Symposium on Low Power Electronics and Design. California: ACM Portal Press, 2001. 34~39.http://eeserver.korea.ac.kr/-bk21/arch/bk21 conf/26.pdf.

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