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Computers 2018, 7(1), 10;

High-Precision Control of a Piezo-Driven Nanopositioner Using Fuzzy Logic Controllers

School of Engineering, University of Aberdeen, Aberdeen AB24 3FX, UK
Centre for Applied Dynamics Research, School of Engineering, University of Aberdeen, Aberdeen AB24 3FX, UK
This paper is an extended version of our paper published in the 2017 International Symposium on Computer Science and Intelligent Controls.
Author to whom correspondence should be addressed.
Received: 18 December 2017 / Revised: 16 January 2018 / Accepted: 18 January 2018 / Published: 22 January 2018
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This paper presents single- and dual-loop fuzzy control schemes to precisely control the piezo-driven nanopositioner in the x- and y-axis directions. Various issues are associated with this control problem, such as low stability margin due to the sharp resonant peak, nonlinear dynamics, parameter uncertainty, etc. As such, damping controllers are often utilised to damp the mechanical resonance of the nanopositioners. The Integral Resonant Controller (IRC) is used in this paper as a damping controller to damp the mechanical resonance. A further inherent problem is the hysteresis phenomenon (disturbance), which leads to degrading the positioning performance (accuracy) of the piezo-driven stage. The common approach to treat this disturbance is to invoke tracking controllers in a closed-loop feedback scheme in conjunction with the damping controllers. The traditional approach uses the Integral Controller (I) or Proportional Integral (PI) as a tracking controller, whereas this paper introduces the Proportional and Integral (PI)-like Fuzzy Logic Controller (FLC) as a tracking controller. The effectiveness of the proposed control schemes over conventional schemes is confirmed through comparative simulation studies, and results are presented. The stability boundaries of the proposed control schemes are determined in the same way as with a conventional controller. Robustness against variations in the resonant frequency of the proposed control schemes is verified. View Full-Text
Keywords: vibration; nonlinearity; fuzzy logic controller vibration; nonlinearity; fuzzy logic controller

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Altaher, M.; Aphale, S.S. High-Precision Control of a Piezo-Driven Nanopositioner Using Fuzzy Logic Controllers. Computers 2018, 7, 10.

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