Skip to main content

Abstract

In this chapter, the bilinear control strategy for paper machines is discussed based on the characteristics of paper-making process. The bilinear decoupling control, bilinear observer and bilinear optimal control as the typical techniques are discussed. Their applications to the headbox section and drying section of a paper machine, axe presented. Digital simulation and on-site implementation results show that the performance of the bilinear control system is satisfactory.

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

Access this chapter

eBook
USD 16.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 16.99
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

  • Banks S.P. and Yew M.K. On the optimal control of bilinear systems and its relation to Lie algebras. Int. J. Control 1986; 43(:891–900

    Article  Google Scholar 

  • Bruni C., Dipillo G. and Koch G. Bilinear systems: an appealing class of “nearly linear” systems in theory and applications. IEEE Tans. Autom. Contr. 1974; AC-19:334–348

    Article  Google Scholar 

  • Derese I. and Noldus E. Optimization of bilinear control systems. Int. J. Systems Sci. 1982; 13: 237–246

    Article  Google Scholar 

  • Derese I., Stevens P. and Noldus E. Observers for bilinear systems with bounded input. Int. J. Systems Science 1979; 10 (6): 649–668

    Article  Google Scholar 

  • Freund E. The structure of decoupled nonlinear system. Int. J. Control 1975; 21: 443–450

    Article  Google Scholar 

  • Freund E. Decoupling and pole assignment in nonlinear systems. Electronics Letters 1973; 9: 373–375

    Article  Google Scholar 

  • Funahashi Y. A class of state observers for bilinear systems. Int. J. Systems Sci. 1978; 9: 1199–1205

    Article  Google Scholar 

  • Hara S. and Furuta K. Minimal order state observers for bilinear systems. Int. J. Control 1976; 24: 705–718

    Article  Google Scholar 

  • Hsu C.S. and Karanam V.R. Observer design of bilinear systems. J. of Dyn. Syst. Meas. and Contr. 1983; 105: 206–208

    Article  Google Scholar 

  • Isidori A. Nonlinear Control Systems: An Introduction. Springer-Verlag, New York, 1985

    Book  Google Scholar 

  • Isidor A., Krener A.J., Gori Giorgi C. and Monaco S. Nonlinear decoupling via feedback: A differential geometric approach. IEEE Trans. Autom. Contr. 1981; AC-26:331–345

    Google Scholar 

  • Jacobson D.H. Extension of linear-quadratic control optimization and matrix theory. Academic Press, San Francisco, 1977

    Google Scholar 

  • Li C.W. and Feng Y.K. Decoupling theory of general multivariable analytic non-linear systems. Int. J. Control 1987; 45: 1147–1160

    Article  CAS  Google Scholar 

  • Maghsoodi Y. Design and computation of near-optimal stable observers for bilinear systems. IEEE Proceedings 1989; 136: 127–132

    Google Scholar 

  • Mohler R.R. Bilinear Control Processes. Academic Press New York and London, 1973

    Google Scholar 

  • Mohler R.R. and Kolodziej W.J. An overview of bilinear system theory and applications. IEEE Trans. Syst. Man and Cyb. 1980; 10: 683–689

    Article  Google Scholar 

  • Mohler R.R. Nonlinear system - Applications to bilinear control. Prentice Hall, Englewood Cliffs, 1991

    Google Scholar 

  • Nazar S. and Rekasius Z.V. Decoupling of a class of nonlinear system. IEEE Trans. Autom. Contr. 1971; AC-16:257–260

    Google Scholar 

  • Nijmeijer H. and Van der Schaft A.J. Nonlinear dynamical control systems. Springer-Verlag, New York, 1990

    Google Scholar 

  • Rao R., Ying Y. and Corbin J. Intelligent engineering approach to pulp and paper process control. Proceeding of CPPA, Montreal, Canada, 1991, pp A195–A199

    Google Scholar 

  • Ryan E.P. Optimal feedback control of bilinear systems. J. of Optimization Theory and Applications 1984; 44: 333–362

    Article  Google Scholar 

  • Sinha P.K. State feedback decoupling of nonlinear system. IEEE Trans. Autom. Contr. 1977; AC-22:487–489

    Google Scholar 

  • Sinha P.K. Multivariable control - An introduction. Marcel Dekker Inc., New York and Basel, 1984

    Google Scholar 

  • Tzafestas S.G., Angnostou K.E. and Pimenides T.G. Stabilizing optimal control of bilinear system with a generalized cost. Optimal Control Appl. and Methods 1984; 5: 111–117

    Article  Google Scholar 

  • Ying Y., Rao M. and Sun Y. State-disturbance composite observer for bilinear systems. Proc. of American Control Conference, San Diego, CA, 1990, pp 1917–20

    Google Scholar 

  • Ying Y., Rao M. and Sun Y. Bilinear control strategy for paper-making process. Chemical Engineering Communications 1992; VIII: 13–28

    Article  Google Scholar 

  • Ying Y., Rao M. and Sun Y. Bilinear state-disturbance composite observer and its application. Int. J. Systems Sci. 1991; 22: 2489–2498

    Article  Google Scholar 

  • Ying Y., Rao M. and Sun Y. A new design method for bilinear suboptimal systems. Proc of American Control Conference, Boston, Massachusetts, 1991, pp 1820–1822

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Rights and permissions

Reprints and permissions

Copyright information

© 1994 Springer-Verlag London Limited

About this chapter

Cite this chapter

Rao, M., Xia, Q., Ying, Y. (1994). Bilinear Control. In: Modeling and Advanced Control for Process Industries. Advances in Industrial Control. Springer, London. https://doi.org/10.1007/978-1-4471-2094-0_5

Download citation

  • DOI: https://doi.org/10.1007/978-1-4471-2094-0_5

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-4471-2096-4

  • Online ISBN: 978-1-4471-2094-0

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics