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Parameter identification for nonlinear pneumatic cylinder actuators

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Nonlinear and Adaptive Control

Part of the book series: Lecture Notes in Control and Information Sciences ((LNCIS,volume 281))

Abstract

Pneumatic actuators exhibit highly nonlinear characteristics due to air compressibility, significant friction presence and the nonlinearities of control valves. The unknown nonlinear parameters can not be directly measured once the actuators have been manufactured and assembled, which causes a great difficulty in pneumatic system modeling and control. A learning algorithm has been developed in this paper to identify the unknown pneumatic system parameters. The algorithm is initially developed and tested using the data generated by simulations. Then the algorithm has been extended onto the parameter identification using the data obtained from the real system measurement. The results revealed the characteristics of uneven distribution of friction parameters which are position, velocity, moving direction dependent. The results obtained in the paper can provide the manufacturers with the observation to the characteristics inside pneumatic cylinders.

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References

  1. Anderson, B.W., (1976) The Analysis and Design of Pneumatic Systems, Robert E. Krieger Puplishing Co., INC, New York, USA.

    Google Scholar 

  2. Armstrong-Helouvry, S., P. Dupont, and C. Canudas De Wit, (1994) A survey of model, analysis tool and compensation methodes for the control of machines with friction, Automatica, 30, 1083–1183.

    Article  MATH  Google Scholar 

  3. Ben-Dov, D. and S.E. Salcudean, (1995) A force-controlled pneumatic actuator, IEEE Transactions on Robotics and Automation, 11, 906–911.

    Article  Google Scholar 

  4. Blackburn, J.F., G. Reethof and J.L. Shearer, (1960) Fluid Power Control, The Technology Press and J. Wiley Inc. New York.

    Google Scholar 

  5. Drakunov, S., G.D. Hanchin, W.C. Su and U. Ozguner, (1997) Nonlinear control of a rodless pneumatic servoactuator, or sliding modes versus Coulomb friction, Actumatica, 33, 1401–1408.

    Article  MATH  MathSciNet  Google Scholar 

  6. Goldberg, D. E., (1989), Genetic Algorithms in search, optimation, and machine learning, Addison-Wesley Publishing Company, Inc, USA.

    Google Scholar 

  7. McDonell, B.W. and J.E. Bobrow, (1993) Adaptive tracking control of an air powered robot actuator, ASME journal of Dynamic Systems, Measurement, and Control, 115, 427–433.

    Article  MATH  Google Scholar 

  8. Moore, P.R., J. Pu and R. Harrison, (1993) Progression of servo pneumatics towards advanced applications, in Fluid Power Circuit, Component and System Design, Edited by K. Edge & C. Burrows, Published by Research Studies Press, ISBN 0 86380 139 0, 347–365.

    Google Scholar 

  9. Sesmat, S., S. Scavarda and X. Lin-shi, (1995) Verification of electropneumatic servovalve size using non-linear control theory applied to cylinder position tracking, The Proceeding of the 4th Scandinavian International Conference on Fluid Power, Tampere, Finland, 1, 504–511.

    Google Scholar 

  10. Van Varseveld, R.B. and G.M. Bone, (1997) Accurate position control of a pneumatic actuator using on/off solenoid valves, IEEE/ASME Transactions on Mechatronics, 2, 195–204.

    Article  Google Scholar 

  11. Wang, J., J. Pu, P.R. Moore and Z. Zhang, (1998) Modelling study and servo-control of air motor systems, International Journal of Control, 71, 459–476.

    Article  MATH  MathSciNet  Google Scholar 

  12. Wang, J., D.J.D. Wang, P.R. Moore, and J. Pu, (2001) Modelling study, analysis and robust servo control of pneumatic cylinder actuator systems, IEE Proceedings on Control Theory and Applications, 148, 35–42.

    Article  Google Scholar 

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Author information

Authors and Affiliations

  1. Department of Electrical Engineering and Electronics, University of Liverpool, Brownlow Hill, Liverpool, L69 3GJ, UK

    N. A. Daw, J. Wang & Q. H. Wu

  2. Department of Mechanical Engineering, Shandong University of Science and Technology, P.R. China

    J. Chen & Y. Zhao

Authors
  1. N. A. Daw
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  2. J. Wang
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  3. Q. H. Wu
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  4. J. Chen
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  5. Y. Zhao
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Editor information

Editors and Affiliations

  1. Departement of AppliedMathematics, The University of Sheffield, Western Bank, Sheffield, S10 2TN, UK

    Alan Zinober

  2. Dept. of Automatic Control and Systems Engineering, The University of Sheffield, Mappin Street, Sheffield, S1 3JD, UK

    David Owens

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© 2003 Springer-Verlag Berlin Heidelberg

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Daw, N.A., Wang, J., Wu, Q.H., Chen, J., Zhao, Y. (2003). Parameter identification for nonlinear pneumatic cylinder actuators. In: Zinober, A., Owens, D. (eds) Nonlinear and Adaptive Control. Lecture Notes in Control and Information Sciences, vol 281. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45802-6_7

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  • DOI: https://doi.org/10.1007/3-540-45802-6_7

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-43240-1

  • Online ISBN: 978-3-540-45802-9

  • eBook Packages: Springer Book Archive

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