Based on the MATLAB Self-Tuning Fuzzy PID Controller Design

Chan Yuan Liu; Guo Guang Chen

doi:10.4028/www.scientific.net/AMM.313-314.443

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 313-314Based on the MATLAB Self-Tuning Fuzzy PID...

Based on the MATLAB Self-Tuning Fuzzy PID Controller Design

Abstract:

Based on MATLAB self-tuning fuzzy PID controller design, the line parameter of the PID controller to adjust, to further improve the performance of the PID controller to adapt to changes in the control object parameters changes and working conditions.Introduction

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Periodical:

Applied Mechanics and Materials (Volumes 313-314)

Pages:

443-447

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.313-314.443

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Online since:

March 2013

Authors:

Chan Yuan Liu, Guo Guang Chen

Keywords:

MATLAB, PID Controller, Self-Tuning Fuzzy

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References

[1] Hansheng Zhong. Based on the fuzzy PID autopilot design[J]. New technologies and new products of china, 2009.1

Google Scholar

[2] Yan Tan. Fuzzy PID in the flight control system[J]. Journal of Beijing university of aeronautics and astronautics.2001, 20(3): 12-14

Google Scholar

[3] Rui Song, Jiaqing Lin, Dianxiu Xia. Fuzzy control system simulation using MATLAB-SIMULINK[J]. Shandong Metallurgical, 2003 25(3): 55

Google Scholar

[4] Zhiguo, Cao, Xiaoqin Lian. MABLAB based on two kinds of fuzzy control system simulation method[J]. Computer Simulation. 2004(21): 44

Google Scholar

[5] Chaoying Liu, Zheying Song, Xuelin Song. MATLAB in the application of the fuzzy control system simulation[J] Computer Simulation. 2001 18(3):11-13

Google Scholar