DOI QR코드

DOI QR Code

A Control System Using Butterworth Filter for Loss-in-Weight Feeders

버터워스 필터를 이용한 감량식 정량연속공급장치 제어 시스템

  • Kang, In-Jae (Department of Mechanical Engineering, Korea University) ;
  • Moon, Sung-Min (Department of Mechanical Engineering, Korea University) ;
  • Kwon, Joon Ho (Department of Mechanical Engineering, Korea University) ;
  • Hong, Daehie (Department of Mechanical Engineering, Korea University)
  • 강인재 (고려대학교 대학원 기계공학과) ;
  • 문성민 (고려대학교 대학원 기계공학과) ;
  • 권준호 (고려대학교 대학원 기계공학과) ;
  • 홍대희 (고려대학교 기계공학과)
  • Received : 2014.01.03
  • Accepted : 2014.07.03
  • Published : 2014.10.01

Abstract

A Loss-in-Weight (LIW) feeder, a type of automated measuring device, is a continuous feeder used in many mass production industries. Due to its versatility, there have been constant demands of LIW feeders in food production supply lines as well as chemical and pharmaceutical industries. In this paper, the process of designing a LIW feeder system with better performance will be examined and compared with commercial products. This system is characterized by low pass Butterworth filter and feed forward PI control. The filter is for noise disposal caused by dynamic condition of a LIW feeder. The feed forward PI control, based on linearity feature of feeders, is adequate for stable driving of the system. At the end, a possible evaluation method of LIW system will be proposed to verify the specific achievement of this paper.

Keywords

References

  1. The Institute of Measurement and Control, "A Guide to Dynamic Weighing for Industry," Weighing & Force Measurement Panel, pp. 36-49, 2010.
  2. Tasaki, R., Yamazaki, T., Ohnishi, H., Kobayashi, M., and Kurosu, S., "Continuous Weighing on a Conveyor Belt with FIR Filter," Conference on Force, Mass and Torque Measurement, Vol. 19, pp. 1-6, 2005.
  3. Halimic, M. and Balachandran, W., "Kalman Filter for Dynamic Weighing System," Proc of the IEEE ISIE, Vol. 2, pp. 786-791, 1995.
  4. Li, J., Zhou, L., and Wang, Q., "Study on Dynamic Weighing System Base on Intelligent Algorithm," IEEE ICCA, pp. 765-768, 2007.
  5. Zare, B., Mohammadi, S. M. A., and Kiani, M., "A Self-Tuning Regulator by Using Bacterial Foraging Algorithm for Weight Belt Feeder," Computational Intelligence and Information Technology, pp. 38-43, 2011.
  6. Lee, H., "Powder Quantitative Feeder," News & Information for Chemical Engineers, Vol. 27, No. 2, pp. 136-139, 2009.
  7. Erer, K. S., "Adaptive Usage of the Butterworth Digital Filter," Journal of Biomechanics, Vol. 40, No. 13, pp. 2937-2943, 2007.
  8. Sato, T. and Kumamoto, Y., "Adaptive PI Control with Feed-forward Compensator for a Weigh Feeder," Networking, International Conference on Sensing, and Control, pp. 428-433, 2009.
  9. Steve, M., "Loss-in-weight Feeding Success: As Easy As 1, 2, 3," Powder and Bulk Engineering, Vol. 13, No. 12, pp. 59-67, 1999.
  10. Araki, N., Sato, T., Kumamoto, Y., Iwai, Y., and Konishi, Y., "Design of Weigh Feeder Control System Using Extremum-Seeking Method," 7th Asian Control Conference, Vol. 7, pp. 250-255, 2009.