Skip to main content

The Application of Fuzzy Predictive Control in Lime Production

  • Conference paper
  • First Online:
Mechatronics and Automatic Control Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 237))

  • 1442 Accesses

Abstract

In the process of lime production, controlling temperature of kiln is crucial to the quality and energy saving. However, as limekiln is a delayed, inertia and nonlinear object, it is hard to get a satisfied control effect via traditional control arithmetic method. Based on the mathematical model study on gas-burning limekiln control system, this paper brings up a fuzzy predictive controlling method, which well combines the predictive function of predictive control with the rapid reaction of fuzzy control in a big deviation range. The simulation on Matlab proves that not only the controlling effect of fuzzy predictive control is superior to fuzzy or predictive controlling method, but also the speed and constancy are improved as well.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Han Tailun (2004) The latest practices encyclopedia of lime production technology management and pollution prevention measures. Jilin Electronic Press, Beijing, pp 192–232, In Chinese

    Google Scholar 

  2. Ćojbašić Ž, Stephan V, Gross HM et al (2003) Intelligent control of complex combustion processes. Mech Eng 1(10):1393–1406

    Google Scholar 

  3. Havlena V, Findejs J (2005) Application of model predictive control to advanced combustion control. Control Eng Pract 13(6):671–680

    Article  Google Scholar 

  4. Richalet J (1993) Industrial application of model based predictive control. Automatic 29(10):1251–1274

    Article  MathSciNet  Google Scholar 

  5. Guo Feng, Liu Bin, Hao Xiaochen, Gao Peng (2010) Research on the fuzzy predictive control for calcining temperature of the rotary cement kiln. In: Signal processing (ICSP), IEEE press, Beijing, pp 2568–2571

    Google Scholar 

  6. Li Gongfa, Kong Jianyi, Jiang Guozhang, Yang Jintang, Xiang Hegen, Hou Yu (2007) Temperature predictive fuzzy control of coke oven. In: Control conference, IEEE press, Los Alamitos, CA, USA, pp 434–436

    Google Scholar 

  7. Xi Yugong, Li Dewei (2008) The basic ideas and comprehensive research status of predictive control theory. Acta Autom Sin 34(10):1225–1234, In Chinese

    Google Scholar 

  8. Li Shaoyuan, Li Ning (2003) Fuzzy predictive control and its application of complex system. Science Press, Beijing, pp 32–98, In Chinese

    Google Scholar 

  9. Rao CV, Rawlings JB (1999) Steady states and constraints in model predictive control. AIChE J 45(6):1266–1278

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Haijian Zhuo .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2014 Springer International Publishing Switzerland

About this paper

Cite this paper

Zhuo, H., Zhang, J., Feng, X. (2014). The Application of Fuzzy Predictive Control in Lime Production. In: Wang, W. (eds) Mechatronics and Automatic Control Systems. Lecture Notes in Electrical Engineering, vol 237. Springer, Cham. https://doi.org/10.1007/978-3-319-01273-5_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-01273-5_19

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-01272-8

  • Online ISBN: 978-3-319-01273-5

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics