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Feedforward Control Without Modeling Inverse Hysteresis

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Advanced Control of Piezoelectric Micro-/Nano-Positioning Systems

Part of the book series: Advances in Industrial Control ((AIC))

Abstract

This chapter presents an approach of hysteresis identification and compensation of piezoelectric actuators by resorting to an intelligent hysteresis model. In particular, a least squares support vector machine (LSSVM)-based hysteresis model is developed and used for both purposes of hysteresis identification and hysteresis compensation. By this way, the inverse hysteresis is not needed in the feedforward hysteresis compensator because the hysteresis model is directly used. The effectiveness of the presented idea is validated by a series of experimental studies on a piezoactuated micro-/nano-positioning system.

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References

  1. Chen, X., Hisayama, T.: Adaptive sliding-mode position control for piezo-actuated stage. IEEE Trans. Ind. Electron. 55(11), 3927–3934 (2008)

    Article  Google Scholar 

  2. Janaideh, M.A., Rakheja, S., Su, C.Y.: Experimental characterization and modeling of rate-dependent hysteresis of a piezoceramic actuator. Mechatronics 19(5), 656–670 (2009)

    Article  Google Scholar 

  3. Li, Y., Xu, Q.: Adaptive sliding mode control with perturbation estimation and PID sliding surface for motion tracking of a piezo-driven micromanipulator. IEEE Trans. Control Syst. Technol. 18(4), 798–810 (2010)

    Article  Google Scholar 

  4. Lin, C.J., Chen, S.Y.: Evolutionary algorithm based feedforward control for contouring of a biaxial piezo-actuated stage. Mechatronics 19(6), 829–839 (2009)

    Article  Google Scholar 

  5. Rakotondrabe, M.: Bouc-Wen modeling and inverse multiplicative structure to compensate hysteresis nonlinearity in piezoelectric actuators. IEEE Trans. Autom. Sci. Eng. 8(2), 428–431 (2011)

    Article  Google Scholar 

  6. Wong, P.K., Xu, Q., Vong, C.M., Wong, H.C.: Rate-dependent hysteresis modeling and control of a piezostage using online support vector machine and relevance vector machine. IEEE Trans. Ind. Electron. 59(4), 988–2001 (2012)

    Article  Google Scholar 

  7. Xu, Q., Wong, P.K.: Hysteresis modeling and compensation of a piezostage using least squares support vector machines. Mechatronics 21(7), 1239–1251 (2011)

    Article  Google Scholar 

  8. Yu, S., Alici, G., Shirinzadeh, B., Smith, J.: Sliding mode control of a piezoelectric actuator with neural network compensating rate-dependent hysteresis. In: Proceedings of the IEEE International Conference on Robotics and Automation, pp. 3641–3645. Barcelona, Spain (2005)

    Google Scholar 

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Correspondence to Qingsong Xu .

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Xu, Q., Tan, K.K. (2016). Feedforward Control Without Modeling Inverse Hysteresis. In: Advanced Control of Piezoelectric Micro-/Nano-Positioning Systems. Advances in Industrial Control. Springer, Cham. https://doi.org/10.1007/978-3-319-21623-2_3

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  • DOI: https://doi.org/10.1007/978-3-319-21623-2_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-21622-5

  • Online ISBN: 978-3-319-21623-2

  • eBook Packages: EngineeringEngineering (R0)

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