An Algorithm for the Optimal Tuning of Fuzzy PID Controllers on Precision Measuring Device

Lu, Jia; Hu, Yunxia

doi:10.1007/978-3-540-30497-5_2

Jia Lu¹⁹ &
Yunxia Hu¹⁹

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 3314))

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International Conference on Computational and Information Science

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Abstract

A new computability methodology was proposed for the fuzzy proportional integral derivative (PID) controllers based on the theoretical fuzzy analysis and the downhill simplex optimization. The paper analyzes the algorithm of downhill simplex searching of the optimization objective functions. The input and objective function of downhill factors were selected for constructing optimal decision rules for the fuzzy logic controller. An optimizer was built around the simplex algorithm that it minimized a simplex within an N-dimensional. The sampling rate is 0.1 and the controllers are implemented under a 0.5 second time delay. The simulation confirmed the viability of the algorithm in its effectiveness of the adaptive fuzzy logic controller.

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Authors and Affiliations

Department of Computer Science and Information System, University of Phoenix, 5050 NW 125 Avenue, Coral Springs, FL, 33076, U.S.A.
Jia Lu & Yunxia Hu

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Jia Lu
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Yunxia Hu
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Editors and Affiliations

School of Electronic Science and Technology, Anhui University, Hefei, Anhui, China
Jun Zhang
College of Science, Donghua University, 1882 Yan’an Xilu Road, 20051, Shanghai, China
Ji-Huan He
BASICS, Department of Computer Science and Engineering, Shanghai Jiao Tong University, 200030, Shanghai, China
Yuxi Fu

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Lu, J., Hu, Y. (2004). An Algorithm for the Optimal Tuning of Fuzzy PID Controllers on Precision Measuring Device. In: Zhang, J., He, JH., Fu, Y. (eds) Computational and Information Science. CIS 2004. Lecture Notes in Computer Science, vol 3314. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30497-5_2

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DOI: https://doi.org/10.1007/978-3-540-30497-5_2
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24127-0
Online ISBN: 978-3-540-30497-5
eBook Packages: Computer ScienceComputer Science (R0)

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