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Design of power control for ultrasonic cleaning systems based on hybrid PID/fuzzy methodology

  • Te-Jen SuEmail author
  • Kun-Liang Lo
  • Chia-Lin Chung
  • Jason Sheng-Hong Tsai
  • Jui-Chuan Cheng
Technical Paper
  • 2 Downloads

Abstract

The high-power ultrasonic cleaning system is used in the manufacturing of clean product contaminants. The pulse density modulation (PDM) switching strategy is more efficient for cleaning the rough surface of equipment. This paper proposes a novel pulse density modulation duty cycle stepping (PDMDCS) method that incorporates a proportional–integral–derivative controller and fuzzy logic for the mechanical resonance frequency tracking and PDM duty cycle stepping for ultrasonic cleaning system power control. The experimental results show that based on the same hardware architecture, the proposed PDMDCS method increases the power control range and resolution of power control without adding more hardware that compares to mechanical resonance frequency control method.

Notes

References

  1. Astrom KJ, Hagglund T (1995) PID controllers: theory, design and tuning. Instrument Society of America, PittsburghGoogle Scholar
  2. Bargoshadi JA, Rahim HBA, Sarrafi S, Rahim A (2011) Design and manufacture an ultrasonic dispersion system with automatic frequency adjusting property. In: 2011 IEEE 7th international colloquium on signal processing and its applications, pp 359–365Google Scholar
  3. Basa KMC, Gomez KPS, Navarro-Tantoco FB, Quinio AS, Arada GP, Co CB (2012) Design of a varying ultrasonic frequency amplifier. In: TENCON 2012 IEEE region 10 conference, pp 1–6Google Scholar
  4. Bretz N, Strobel J, Kaltenbacher M, Lerch R (2005) Numerical simulation of ultrasonic waves in cavitating fluids with special consideration of ultrasonic cleaning. IEEE Ultrason Symp 1:703–706Google Scholar
  5. Buasri C, Jangwanitlert A (2008) Comparison of switching strategies for an ultrasonic cleaner. In: 2008 5th international conference on electrical engineering/electronics, computer, telecommunications and information technology, vol 2, pp 1005–1008Google Scholar
  6. Cao BY, Xie XJ (2012) Fuzzy engineering and operations research. Springer, BerlinCrossRefGoogle Scholar
  7. Cheng HL, Cheng CA, Fang CC, Yen HC (2009) Single-Switch high power factor inverter for driving piezoelectric ceramic transducer. In: 2009 international conference on power electronics and drive systems, pp 1571–1576Google Scholar
  8. Durkee J (2006) Management of industrial cleaning technology and process. Elsevier, OxfordGoogle Scholar
  9. Fabijanski P, Lagoda R (1996) Series resonant converter with sandwich-type piezoelectric ceramic transducers. In: Proceedings of the IEEE international conference on industrial technology, pp 252–256Google Scholar
  10. Frederic C, Patrick S, Etienne T (2006) Smart generator for ultrasonic applications. In: IECON 2006—32nd annual conference on IEEE industrial electronics, pp 3095–3098Google Scholar
  11. Fuchs FJ (2015) Ultrasonic cleaning and washing of surfaces. Elsevier, OxfordCrossRefGoogle Scholar
  12. Ghasemi N, Abedi N, Mokhtari G (2016) Real-time method for resonant frequency detection and excitation frequency tuning for piezoelectric ultrasonic transducers. In: 2016 Australasian Universities power engineering conference, pp 1–5Google Scholar
  13. Huang H, Paramo D (2011) Broadband electrical impedance matching for piezoelectric ultrasound transducers. IEEE Trans Ultrason Ferroelectr Freq Control 58(12):2699–2707CrossRefGoogle Scholar
  14. Khmelev VN, Tsyganok SN, Kuzovnikov YM, Shakura VA, Khmelev MV, Zorin SS (2016) Study of ultrasonic cavitation action on the process of part cleaning form burrs. In: 2016 17th international conference of young specialists on micro/nanotechnologies and electron devices, pp 275–279Google Scholar
  15. Long Z, He Y, Li Z, Zou J, Sun Z (2016) Dynamic matching model of ultrasonic transducer based on digital inductance. In: 2016 IEEE international conference on information and automation, pp 618–625Google Scholar
  16. Meitzler AH, Tiersten HF, Warner AW, Berlincourt D, Coquin GA, Welsh FS (1987) Standard on piezoelectricity. American National Standards Institute, WashingtonGoogle Scholar
  17. Passino KM, Yurkovich S (1998) Fuzzy control. Addison Wesley, BostonzbMATHGoogle Scholar
  18. Ross TJ (2004) Fuzzy logic with engineering application. Wiley, OxfordzbMATHGoogle Scholar
  19. Rotshtein AP, Rakytyanska HB (2012) Fuzzy evidence in the identification, forecasting and diagnosis. Springer, BerlinCrossRefzbMATHGoogle Scholar
  20. Shaw JA (2003) The PID control algorithm. How to work, how to tune it and how to use itGoogle Scholar
  21. Sung SW, Lee J, Lee IB (2009) Process identification and PID control. Wiley, OxfordCrossRefGoogle Scholar
  22. Tangel A, Yakut M, Afacan E, Cuvenc U, Sengul H (2010) An FPGA based multiple-output PWM pulse generator for ultrasonic cleaning machines. In: 2010 international conference on applied electronics, pp 1–4Google Scholar
  23. Tangsopha W, Thongsri J, Busayaporn W (2017) Simulation of ultrasonic cleaning and ways to improve the efficiency. In: 2017 international electrical engineering congress, pp 1–4Google Scholar
  24. Vasiljev P, Struckas A, Borodinas S, Rotmanas A (2012) Ultrasonic cavitations research in thin flowing liquid layer. In: 2012 IEEE international ultrasonics symposium, pp 855–857Google Scholar
  25. Xu LT, Yang M, Li SY, Zhuang XQ, Yang TY, Zhou M (2016) An improved frequency tracking strategy in ultrasonic transducer. In: 2016 symposium on piezoelectricity, acoustic waves, and device applications, pp 32–36Google Scholar
  26. Zandi H, Davat B, Douine B, Sharif F (2016) An overview on different drive topologies and strategies for power ultrasonic piezoelectric transducers. In: 2016 international conference on electrical sciences and technologies in Maghreb, pp 1–5Google Scholar
  27. Zhou W, Zhang D (2012) Research and development of ultrasonic frequency dual closed-loop control tracking system based on the STM32 and phase inspection circuit. In: 2012 third international conference on digital manufacturing and automation, pp 638–641Google Scholar

Copyright information

© Springer-Verlag GmbH Germany, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Electronic EngineeringNational Kaohsiung University of Science and TechnologyKaohsiungTaiwan
  2. 2.Department of Electrical EngineeringNational Cheng-Kung UniversityTainanTaiwan
  3. 3.Ph.D Program in Biomedical EngineeringKaohsiung Medical UniversityKaohsiungTaiwan

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