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

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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.

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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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Authors and Affiliations

  1. College of Automation, Harbin Engineering University, Room 5149, Building 61, 145 Nan Tong Street, Harbin, 150001, China

    Liu Yang

  2. College of Automation, Harbin Engineering University, Room 5152, Building 61, 145 Nan Tong Street, Harbin, 150001, China

    Jin Li

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  1. Liu Yang
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  2. Jin Li
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Correspondence to Jin Li.

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Yang, L., Li, J. Adaptive Fuzzy Sliding Mode Control for Nano-positioning of Piezoelectric Actuators. Int. J. Fuzzy Syst. 19, 238–246 (2017). https://doi.org/10.1007/s40815-015-0084-6

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  • DOI: https://doi.org/10.1007/s40815-015-0084-6

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