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International Journal of Fuzzy Systems

, Volume 19, Issue 1, pp 238–246 | Cite as

Adaptive Fuzzy Sliding Mode Control for Nano-positioning of Piezoelectric Actuators

  • Liu Yang
  • Jin LiEmail author
Article

Abstract

In this paper, an adaptive fuzzy sliding mode control method is presented, which combines a fuzzy component added on the switching control part for use in controlling the piezoelectric actuators’ systems with uncertainties. The fuzzy logic component employed in the controller is used to compensate the effect of nonlinear terms in the system. The resulting control strategy is devised using sliding mode control schemes. Furthermore, the additional fuzzy term accelerates convergence toward the sliding surface and suppresses the chattering phenomenon. By using Lyapunov-based stability analysis, the asymptotic tracking ability of the designed controller is proved. Experimental results confirm that the designed control approach produces faster response and smaller tracking errors in comparison with the conventional sliding mode controller. The effectiveness and feasibility of the proposed control technique are verified through experimental investigations on a PEA stage.

Keywords

Piezoelectric actuator (PEA) Fuzzy control Sliding mode control Hysteresis 

Notes

Acknowledgments

The authors would like to thank Dr. Jinjun Shan of York University for his equipments support used for experiments in this paper.

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Copyright information

© Taiwan Fuzzy Systems Association and Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.College of Automation, Harbin Engineering UniversityHarbinChina
  2. 2.College of Automation, Harbin Engineering UniversityHarbinChina

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