| Design of Adaptive Fuzzy PID Altitude Control System for Unmanned Aerial Vehicle |
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| 作者姓名： | 石刚 杨树兴 敬亚兴 徐勇 |
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| 作者单位： | School of Aerospace Science and Engineering Beijing Institute of Technology，School of Aerospace Science and Engineering，Beijing Institute of Technology，Research Institute of Anti-Chemistry，School of Aerospace Science and Engineering，Beijing Institute of Technology，Beijing 100081，China，Beijing 100081，China，Beijing 102205，China，Beijing 100081，China |
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| 基金项目： | the Ministerial Level Foundation |
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| 摘 要： | 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.
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| 关 键 词： | unmanned aerial vehicle adaptive fuzzy PID altitude control system |
Design of Adaptive Fuzzy PID Altitude Control System for Unmanned Aerial Vehicle |
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| SHI Gang,YANG Shu-xing,JING Ya-xing and XU Yong.Design of Adaptive Fuzzy PID Altitude Control System for Unmanned Aerial Vehicle[J].Journal of Beijing Institute of Technology,2008,17(1):58-61. |
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| Authors: | SHI Gang YANG Shu-xing JING Ya-xing and XU Yong |
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| Affiliation: | School of Aerospace Science and Engineering, Beijing Institute of Technology, Beijing 100081, Chi;School of Aerospace Science and Engineering, Beijing Institute of Technology, Beijing 100081, Chi;Research Institute of Anti-Chemistry, Beijing 102205, China;School of Aerospace Science and Engineering, Beijing Institute of Technology, Beijing 100081, Chi |
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| 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. |
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| Keywords: | unmanned aerial vehicle adaptive fuzzy PID altitude control system |
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