The structure analysis and design of a new self-optimizing fuzzy controller based on Nelder-Mead simplex method

Yang Lei; Xiangyang Liu; Ningfei Wang; Feng Wang

doi:10.1109/PEAM.2011.6135032

The structure analysis and design of a new self-optimizing fuzzy controller based on Nelder-Mead simplex method

Yang Lei^*, Xiangyang Liu, Ningfei Wang, Feng Wang

^*Corresponding author for this work

School of Aerospace Engineering

Beijing Institute of Technology

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

With analyzing the shortcomings in the conventional fuzzy controllers that the steady state errors and its changing rate cannot be eliminated, as well as the good dynamic characteristics and steady-state properties cannot be simultaneously obtained, a new kind of self-optimizing fuzzy controller, which utilizes Nelder-Mead simplex method to automatically optimize the quantifying factor, scaling factor and integral tuning factor is designed and implemented in MATLAB environment. The simulation results indicate that the controller has strong anti-jamming capacity and fairly good accuracy in its static and dynamic control performances.

Original language	English
Title of host publication	PEAM 2011 - Proceedings
Subtitle of host publication	2011 IEEE Power Engineering and Automation Conference
Pages	136-139
Number of pages	4
DOIs	https://doi.org/10.1109/PEAM.2011.6135032
Publication status	Published - 2011
Event	2011 IEEE Power Engineering and Automation Conference, PEAM 2011 - Wuhan, China Duration: 8 Sept 2011 → 9 Sept 2011

Publication series

Name	PEAM 2011 - Proceedings: 2011 IEEE Power Engineering and Automation Conference
Volume	3

Conference

Conference	2011 IEEE Power Engineering and Automation Conference, PEAM 2011
Country/Territory	China
City	Wuhan
Period	8/09/11 → 9/09/11

Keywords

Nelder-Mead simplex method
fuzzy control
parameters self-optimizing
simulation

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10.1109/PEAM.2011.6135032

Cite this

Lei, Y., Liu, X., Wang, N., & Wang, F. (2011). The structure analysis and design of a new self-optimizing fuzzy controller based on Nelder-Mead simplex method. In PEAM 2011 - Proceedings: 2011 IEEE Power Engineering and Automation Conference (pp. 136-139). Article 6135032 (PEAM 2011 - Proceedings: 2011 IEEE Power Engineering and Automation Conference; Vol. 3). https://doi.org/10.1109/PEAM.2011.6135032

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title = "The structure analysis and design of a new self-optimizing fuzzy controller based on Nelder-Mead simplex method",

abstract = "With analyzing the shortcomings in the conventional fuzzy controllers that the steady state errors and its changing rate cannot be eliminated, as well as the good dynamic characteristics and steady-state properties cannot be simultaneously obtained, a new kind of self-optimizing fuzzy controller, which utilizes Nelder-Mead simplex method to automatically optimize the quantifying factor, scaling factor and integral tuning factor is designed and implemented in MATLAB environment. The simulation results indicate that the controller has strong anti-jamming capacity and fairly good accuracy in its static and dynamic control performances.",

keywords = "Nelder-Mead simplex method, fuzzy control, parameters self-optimizing, simulation",

author = "Yang Lei and Xiangyang Liu and Ningfei Wang and Feng Wang",

year = "2011",

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language = "English",

isbn = "9781424496884",

series = "PEAM 2011 - Proceedings: 2011 IEEE Power Engineering and Automation Conference",

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Lei, Y, Liu, X , Wang, N & Wang, F 2011, The structure analysis and design of a new self-optimizing fuzzy controller based on Nelder-Mead simplex method. in PEAM 2011 - Proceedings: 2011 IEEE Power Engineering and Automation Conference., 6135032, PEAM 2011 - Proceedings: 2011 IEEE Power Engineering and Automation Conference, vol. 3, pp. 136-139, 2011 IEEE Power Engineering and Automation Conference, PEAM 2011, Wuhan, China, 8/09/11. https://doi.org/10.1109/PEAM.2011.6135032

The structure analysis and design of a new self-optimizing fuzzy controller based on Nelder-Mead simplex method. / Lei, Yang; Liu, Xiangyang ; Wang, Ningfei et al.
PEAM 2011 - Proceedings: 2011 IEEE Power Engineering and Automation Conference. 2011. p. 136-139 6135032 (PEAM 2011 - Proceedings: 2011 IEEE Power Engineering and Automation Conference; Vol. 3).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2011

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N2 - With analyzing the shortcomings in the conventional fuzzy controllers that the steady state errors and its changing rate cannot be eliminated, as well as the good dynamic characteristics and steady-state properties cannot be simultaneously obtained, a new kind of self-optimizing fuzzy controller, which utilizes Nelder-Mead simplex method to automatically optimize the quantifying factor, scaling factor and integral tuning factor is designed and implemented in MATLAB environment. The simulation results indicate that the controller has strong anti-jamming capacity and fairly good accuracy in its static and dynamic control performances.

AB - With analyzing the shortcomings in the conventional fuzzy controllers that the steady state errors and its changing rate cannot be eliminated, as well as the good dynamic characteristics and steady-state properties cannot be simultaneously obtained, a new kind of self-optimizing fuzzy controller, which utilizes Nelder-Mead simplex method to automatically optimize the quantifying factor, scaling factor and integral tuning factor is designed and implemented in MATLAB environment. The simulation results indicate that the controller has strong anti-jamming capacity and fairly good accuracy in its static and dynamic control performances.

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The structure analysis and design of a new self-optimizing fuzzy controller based on Nelder-Mead simplex method

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