Fuzzy-enhanced Dual-loop Control Strategy for Precise Nanopositioning

Mohammed Talib Altaher, Sumeet Sunil Aphale

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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Abstract

Vibration problems are inherent to most precisionpositioning systems. These systems are lightly damped andhighly susceptible to mechanical resonance at any suddenchange in the voltage applied to the nanopositioning platform.These systems also exhibit nonlinearity, such as hysteresis andcreep. The traditional approach uses a combination of dampingcontrollers and tracking controllers to deal with nonlinearityand resonance respectively. The classical approach is based onsole use of the integral controller (l) or proportional integral(PI) as a tracking controller to treat nonlinearity; this paperemploys a hybrid feedback scheme, using the fuzzy logic con-troller as a correction tracking controller in in conjunction withthe conventional tracking controllers. The damping controllersutilised in this work to damp the mechanical resonance of thenanopositioning platform are the Integral Resonant Controller(IRC), the Positive Velocity and Position Feedback (PVPF),and the Positive Position Feedback Controller (PPF). Theproposed fuzzy logic controller delivers improved dynamictracking performance characteristics with less vibration incomparison with the conventional tracking method because thefuzzy logic controller can handle nonlinearity and vibrationvia its rules and membership functions. The use of fuzzyGaussian membership function can alleviate the appearanceof mechanical resonance.
Original languageEnglish
Title of host publication2017 International Symposium on Computer Science and Intelligent Controls
Subtitle of host publicationProceedings
Place of PublicationBudapest-Hungary
PublisherIEEE Computer Society
Pages73-81
Number of pages9
ISBN (Electronic)9781538629413
ISBN (Print)9781538629420
DOIs
Publication statusPublished - Oct 2017
Event2017 International Symposium on Computer Science and Intelligent Controls - Budapest, Hungary
Duration: 20 Oct 201722 Oct 2017

Conference

Conference2017 International Symposium on Computer Science and Intelligent Controls
CountryHungary
CityBudapest
Period20/10/1722/10/17

Fingerprint

Controllers
Control nonlinearities
Membership functions
Feedback
Fuzzy logic
Hysteresis
Damping
Electric potential

Keywords

  • vibration
  • nonlinearity
  • fuzzy logic controller

Cite this

Altaher, M. T., & Aphale, S. S. (2017). Fuzzy-enhanced Dual-loop Control Strategy for Precise Nanopositioning. In 2017 International Symposium on Computer Science and Intelligent Controls: Proceedings (pp. 73-81). Budapest-Hungary : IEEE Computer Society. https://doi.org/10.1109/ISCSIC.2017.29

Fuzzy-enhanced Dual-loop Control Strategy for Precise Nanopositioning. / Altaher, Mohammed Talib; Aphale, Sumeet Sunil.

2017 International Symposium on Computer Science and Intelligent Controls: Proceedings. Budapest-Hungary : IEEE Computer Society, 2017. p. 73-81.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Altaher, MT & Aphale, SS 2017, Fuzzy-enhanced Dual-loop Control Strategy for Precise Nanopositioning. in 2017 International Symposium on Computer Science and Intelligent Controls: Proceedings. IEEE Computer Society, Budapest-Hungary , pp. 73-81, 2017 International Symposium on Computer Science and Intelligent Controls, Budapest, Hungary, 20/10/17. https://doi.org/10.1109/ISCSIC.2017.29
Altaher MT, Aphale SS. Fuzzy-enhanced Dual-loop Control Strategy for Precise Nanopositioning. In 2017 International Symposium on Computer Science and Intelligent Controls: Proceedings. Budapest-Hungary : IEEE Computer Society. 2017. p. 73-81 https://doi.org/10.1109/ISCSIC.2017.29
Altaher, Mohammed Talib ; Aphale, Sumeet Sunil. / Fuzzy-enhanced Dual-loop Control Strategy for Precise Nanopositioning. 2017 International Symposium on Computer Science and Intelligent Controls: Proceedings. Budapest-Hungary : IEEE Computer Society, 2017. pp. 73-81
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