Design of adaptive fuzzy PID altitude control system for unmanned aerial vehicle

Gang Shi; Shu Xing Yang; Ya Xing Jing; Yong Xu

Design of adaptive fuzzy PID altitude control system for unmanned aerial vehicle

Gang Shi^*
, Shu Xing Yang
, Ya Xing Jing
, Yong Xu

^*Corresponding author for this work

School of Automation

Research output: Contribution to journal › Article › peer-review

5 Citations (Scopus)

Abstract

Based on Matlab/Simulink and Fuzzy Logic toolboxes, the altitude control system is designed and simulated. The validity of conventional PID control method and adaptive fuzzy PID control method is compared. It can be drawn out that the adaptive fuzzy PID control method is superior to the conventional PID in rising time and overshoot etc. The effectiveness of a fuzzy PID controller shows potential application in the future, especially in the presence of model uncertainty or changing dynamics and time-varying parameters.

Original language	English
Pages (from-to)	58-61
Number of pages	4
Journal	Journal of Beijing Institute of Technology (English Edition)
Volume	17
Issue number	1
Publication status	Published - Mar 2008

Keywords

Adaptive
Altitude control system
Fuzzy PID
Unmanned aerial vehicle

Cite this

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title = "Design of adaptive fuzzy PID altitude control system for unmanned aerial vehicle",

abstract = "Based on Matlab/Simulink and Fuzzy Logic toolboxes, the altitude control system is designed and simulated. The validity of conventional PID control method and adaptive fuzzy PID control method is compared. It can be drawn out that the adaptive fuzzy PID control method is superior to the conventional PID in rising time and overshoot etc. The effectiveness of a fuzzy PID controller shows potential application in the future, especially in the presence of model uncertainty or changing dynamics and time-varying parameters.",

keywords = "Adaptive, Altitude control system, Fuzzy PID, Unmanned aerial vehicle",

author = "Gang Shi and Yang, \{Shu Xing\} and Jing, \{Ya Xing\} and Yong Xu",

year = "2008",

month = mar,

language = "English",

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pages = "58--61",

journal = "Journal of Beijing Institute of Technology (English Edition)",

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T1 - Design of adaptive fuzzy PID altitude control system for unmanned aerial vehicle

AU - Shi, Gang

AU - Yang, Shu Xing

AU - Jing, Ya Xing

AU - Xu, Yong

PY - 2008/3

Y1 - 2008/3

N2 - Based on Matlab/Simulink and Fuzzy Logic toolboxes, the altitude control system is designed and simulated. The validity of conventional PID control method and adaptive fuzzy PID control method is compared. It can be drawn out that the adaptive fuzzy PID control method is superior to the conventional PID in rising time and overshoot etc. The effectiveness of a fuzzy PID controller shows potential application in the future, especially in the presence of model uncertainty or changing dynamics and time-varying parameters.

AB - Based on Matlab/Simulink and Fuzzy Logic toolboxes, the altitude control system is designed and simulated. The validity of conventional PID control method and adaptive fuzzy PID control method is compared. It can be drawn out that the adaptive fuzzy PID control method is superior to the conventional PID in rising time and overshoot etc. The effectiveness of a fuzzy PID controller shows potential application in the future, especially in the presence of model uncertainty or changing dynamics and time-varying parameters.

KW - Adaptive

KW - Altitude control system

KW - Fuzzy PID

KW - Unmanned aerial vehicle

UR - https://www.scopus.com/pages/publications/42449122381

M3 - Article

AN - SCOPUS:42449122381

SN - 1004-0579

VL - 17

SP - 58

EP - 61

JO - Journal of Beijing Institute of Technology (English Edition)

JF - Journal of Beijing Institute of Technology (English Edition)

IS - 1

ER -

Design of adaptive fuzzy PID altitude control system for unmanned aerial vehicle

Abstract

Keywords

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