Robust non-linear control design to an ionic polymer metal composite with hysteresis using operator-based approach

Author(s): M. Deng and A. Wang
DOI: 10.1049/iet-cta.2011.0534

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Author(s): M. Deng ¹ and A. Wang ¹
- Affiliations: 1: The Graduate School of Engineering, Tokyo University of Agriculture and Technology, Tokyo, Japan
Source: Volume 6, Issue 17, 15 November 2012, p. 2667 – 2675
DOI: 10.1049/iet-cta.2011.0534 , Print ISSN 1751-8644, Online ISSN 1751-8652

In this article, robust non-linear control design to an ionic polymer metal composite (IPMC) with hysteresis, uncertainties and input constraints is studied. The IPMC is a novel smart polymer material, and many potential applications for low mass high displacement actuators in biomedical and robotic systems have been shown. In general, the IPMC has highly non-linear property and hysteretic behaviour, and the control input is subject to some constraints to ensure safety and longer service life of IPMC. Moreover, there exist uncertainties caused by identifying some physical parameters and approximate calculation in dynamic model. As a result, considering measurement error of parameters and model error, a practical non-linear model is obtained, and a non-linear robust control design with hysteresis, uncertainties and input constraints using operator-based robust right coprime factorisation is proposed for an IPMC setup, where, the Prandtl–Ishlinskii (PI) model is used to describe the hysteresis, and which is identified using experimental data. The effectiveness of the proposed control method based on obtained non-linear model is confirmed by simulation and experimental results.

References

1. 1)
  - M. Deng , A. Inoue , K. Edahiro . Fault detection in a thermal process control system with input constraints using a robust right coprime factorization approach. Proc. IMechE, I , 819 - 831
2. 2)
  - N. Bu , M. Deng . Isomorphism-based robust right coprime factorization of nonlinear unstable plants with perturbations. IET Control Theor. Appl. , 11 , 2381 - 2390
3. 3)
  - C. Jiang , M. Deng , A. Inoue . Robust stability of nonlinear plants with a non-symmetric Prandtl–Ishlinskii hysteresis model. Int. J. Autom. Comput. , 2 , 213 - 218
4. 4)
  - M. Shahinpoor . Ionic polymer-conductor composites as biomimetic sensors, robotic actuators and artificial muscles-a review. Electr. Acta , 2343 - 2353
5. 5)
  - M. Deng , A. Inoue , K. Ishikawa . Operator-based nonlinear feedback control design using robust right coprime factorization. IEEE Trans. Automat. Control , 4 , 645 - 648
6. 6)
  - S. Bi , M. Deng , S. Wen . Operator-based output tracking control for non-linear uncertain systems with unknown time-varying delays. IET Control Theor. Appl. , 5 , 693 - 699
7. 7)
  - S. Saito , M. Deng , A. Inoue , C. Jiang . Vibration control of a flexible arm experimental system with hysteresis of piezoelectric actuator. Int. J. Innovative Comput. Inf. Control , 7 , 2965 - 2975
8. 8)
  - M. Brokate , J. Sprekels . (1996) Hysteresis and phase transitions.
9. 9)
  - R.J.P. de Figueiredo , G. Chen . (1993) Nonlinear feedback control system: an operator theory approach.
10. 10)
  - Bhat, N., Kim, W.: `Precision position control of ionic polymer metal composite', Proc. Conf. 2004 American Control, 2004, p. 740–745.
11. 11)
  - N. Bhat , W. Kim . Precision force and position control of ionic polymer metal composite. J. Syst. Control Eng. , 6 , 421 - 432
12. 12)
  - S. Oh , H. Kim . A study on the control of an IPMC actuator using an adaptive fuzzy algorithm. KSME Int. J. , 1 , 1 - 11
13. 13)
  - P. Krejci , K. Kuhnen . Inverse control of systems with hysteresis and creep. IEE Control Theory Appl. , 3 , 185 - 192
14. 14)
  - Z. Chen , D.R. Hedgepeth , X. Tan . A nonlinear control-oriented model for ionic polymer-metal composite actuators. Smart Mater. Struct. , 5
15. 15)
  - M. Deng , S. Bi , A. Inoue . Robust nonlinear control and tracking design for multi-input multi-output nonlinear perturbed plants. IET Control Theor. Appl. , 9 , 1237 - 1248
16. 16)
  - G. Chen , Z. Han . Robust right coprime factorisation and robust stabilization of nonlinear feedback control systems. IEEE Trans. Autom. Control , 10 , 1505 - 1510
17. 17)
  - M. Shahinpoor , K.J. Kim . Ionic polymer-metal composites: I. Fundamentals. Smart Mater. Struct. , 819 - 833
18. 18)
  - Deng, M., Inoue, A., Ishikawa, K.: `Tracking of perturbed nonlinear plants using robust right coprime factorization approach', Proc. Conf. 2004 American Control, 2004, p. 3666–3670.
19. 19)
  - M. Shahinpoor , K. Kim . Ionic polymer-metal composites. III. Modeling and simulation as biomimetic sensors, actuators, transducers, and artificial muscles. Smart Mater. Struct. , 6 , 1362 - 1388

Robust non-linear control design to an ionic polymer metal composite with hysteresis using operator-based approach

Robust non-linear control design to an ionic polymer metal composite with hysteresis using operator-based approach

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