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Design and Simulation of Fuzzy PID-based Control System

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Hong WangAuthors Info & Claims

CCEAI '23: Proceedings of the 7th International Conference on Control Engineering and Artificial Intelligence

Pages 108 - 112

https://doi.org/10.1145/3580219.3580239

Published: 02 March 2023 Publication History

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Abstract

This paper proposes a fuzzy PID control method for the servo control system, the control method overcomes the control precision of fuzzy control is not high, and the traditional PID control for high order, parameter time varying, nonlinear and other controlled objects can not provide better control performance shortcomings, discusses the design method of fuzzy PID servo control system, MATLAB/Simulink and fuzzy control toolbox are used to design and simulate the control system, the results show that the performance of the servo control system is improved obviously.

References

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Ouyang Liming.MATLAB control system design[M]. Beijing: National Defense Industry Publishing House, 2001

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Tao Yonghua, etc. New PID control and its application[M]. Beijing: Machinery Industry Publishing House, 2000

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Zhang Guoliang, Fuzzy control and its MATLAB application[M]. Xi'an: Xi'an Jiaotong University Press, 2002

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Guo Haigang. Several new methods of adaptive fuzzy control in variable domain[D]. Dalian University of Technology, 2013

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Nguyen Dink Phu, Nguyen Hhut Hung, Norazak Senu. A new fuzzy PID control system based on fuzzy PID controller and fuzzy control process[J]. International Journal of Fuzzy System, 22(7), 2020.10

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Index Terms

Design and Simulation of Fuzzy PID-based Control System
1. Computing methodologies
  1. Artificial intelligence
    1. Control methods
      1. Computational control theory
    2. Knowledge representation and reasoning
      1. Probabilistic reasoning
      2. Vagueness and fuzzy logic
  2. Modeling and simulation
    1. Model development and analysis
2. Mathematics of computing

Index terms have been assigned to the content through auto-classification.

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CCEAI '23: Proceedings of the 7th International Conference on Control Engineering and Artificial Intelligence

January 2023

187 pages

ISBN:9781450397513

DOI:10.1145/3580219

Editors:
Dan Zhang,
Yong Yue

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Association for Computing Machinery

New York, NY, United States

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Published: 02 March 2023

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CCEAI 2023

CCEAI 2023: 2023 7th International Conference on Control Engineering and Artificial Intelligence

January 28 - 30, 2023

Sanya, China

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Abstract

References

Index Terms

Recommendations

Fuzzy PID Control and Simulation Experiment on Permanent Magnet Linear Synchronous Motors

Application of Fuzzy Adaptive PID Control in Chlorine Flow Control System

A New PID Fuzzy Controller (Fuzzy P(I+D))

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