Skip to main content

Robust Fuzzy Tracking Control Simulation of Medium-speed Pulverizer

  • Conference paper
Systems Modeling and Simulation

Abstract

This paper presents a novel robust fuzzy tracking control method of medium-speed Pulverizers (MSP) and develops the corresponding design and simulation software. To facilitate the control system design, the T-S fuzzy model of MSP is proposed based on improving the nonlinear mathematical model firstly. Then the design procedure of robust fuzzy tracking control system is illustrated. In succession, the Robust Fuzzy Tracking Control Platform of MSP (RFTCM) is developed. It makes the design process of robust fuzzy tracking control system of MSP modularized and become easy. Simulation results based on the platform show that the control system can track the desired trajectory asymptotically.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Zhou G, Si J and Taft CW, Modeling and simulation of C-E deep bowl pulverizer, IEEE Transactions on Energy Conversion, 3 (2000), pp. 312–322.

    Article  Google Scholar 

  2. Zhang YG, Wu QH, Wang J, Marts D and Zhou XX., Pulverizer modeling by machine learning based on onsite measurements, IEEE Transactions on Energy Conversion, 4 (2002), pp. 549–555.

    Article  Google Scholar 

  3. Tanaka S., Kurosaki Y., Teramoto T., and Murakami S., Dynamic simulation analysis of MPS mill for coal fired boiler and application of its results to boiler control system, 1FAC Symposium of Power Plant and Control, 1997.

    Google Scholar 

  4. El, H. A. and Bentalba, S., Fuzzy path tracking control for automatic steering of vehicles. Robotics and Autonomous Systems, 4 (2003) pp. 203–213

    Google Scholar 

  5. Tseng, C.-S., Chen, B.-S. and Uang, H.-J., Fuzzy tracking control design for nonlinear dynamic systems via T-S fuzzy model, IEEE Transactions on Fuzzy Systems, 3 (2001), pp. 381–392.

    Article  Google Scholar 

  6. Kim, E., Output feedback tracking control of robot manipulators with model uncertainty via adaptive fuzzy logic, IEEE Transactions on Fuzzy Systems, 3 (2004), pp. 368–378.

    Article  Google Scholar 

  7. Tong, S.-C., Wang, T., and Li, H.-X., Fuzzy robust tracking control for uncertain nonlinear systems. International Journal of Approximate Reasoning, 2 (2002), pp. 73–90.

    Article  Google Scholar 

  8. Guan, X. and Chen, C., Adaptive fuzzy control for chaotic systems with H infinity tracking performance. Fuzzy Sets and Systems, 1 (2003), pp. 81–93.

    Article  Google Scholar 

  9. Yu, W.-S., H infinity tracking-based adaptive fuzzy-neural control for M1MO uncertain robotic systems with time delays. Fuzzy Sets and Systems, 3 (2004), pp. 375–401.

    Article  Google Scholar 

  10. Chang, Y.-C., Robust tracking control for nonlinear MIMO systems via fuzzy approaches. Automatica, 10 (2000), pp. 1535–1545.

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer

About this paper

Cite this paper

Fei, M., Zhang, J. (2007). Robust Fuzzy Tracking Control Simulation of Medium-speed Pulverizer. In: Koyamada, K., Tamura, S., Ono, O. (eds) Systems Modeling and Simulation. Springer, Tokyo. https://doi.org/10.1007/978-4-431-49022-7_16

Download citation

  • DOI: https://doi.org/10.1007/978-4-431-49022-7_16

  • Publisher Name: Springer, Tokyo

  • Print ISBN: 978-4-431-49021-0

  • Online ISBN: 978-4-431-49022-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics