Parameters self-tuning fuzzy-PID combined with expert control on wind velocity control system of wind tunnels at home

Li Ke; Liu Wangkai; Wang Jun

Volume 33 Issue 12

Dec. 2007

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Journal of Beijing University of Aeronautics and Astronautics > 2007 > 33(12): 1387-1390.

Li Wen, Cui Yi, Wang Jun, et al. Analysis on electrostatic levitation of lunar dust on the Moon's light side[J]. Journal of Beijing University of Aeronautics and Astronautics, 2010, 36(10): 1199-1202. (in Chinese)

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Li Ke, Liu Wangkai, Wang Junet al. Parameters self-tuning fuzzy-PID combined with expert control on wind velocity control system of wind tunnels at home[J]. Journal of Beijing University of Aeronautics and Astronautics, 2007, 33(12): 1387-1390. (in Chinese)

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Parameters self-tuning fuzzy-PID combined with expert control on wind velocity control system of wind tunnels at home

School of Aeronautic Science and Engineering, Beijing University of Aeronautics and Astronautics, Beijing 100083, China

Received Date: 30 Nov 2006
Publish Date: 31 Dec 2007

Abstract

Abstract

The structure and the characters of wind velocity control system of D-4 low velocity wind tunnel at home having been built in Beijing University of Aeronautics and Astronautics was introduced. Due to the difficulties of establishing mathematical model, the complicated nonlinear characters and the change of parameters, the wind velocity systems is not easy to control in classical PID algorithm. This problem can be solved on the basis of parameters self-tuning fuzzy-PID control algorithm combined with expert decision. The experiment proved, compared with classical PID control, the parameters self-tuning fuzzy-PID control method can decrease the overshoot, enhance the capacity of anti-dynamic disturbance, have certain robustness, resolve the contradictory between rapidity and small overshoot, and is suitable for application in low velocity wind control system.
- wind tunnels,
- wind velocity control,
- fuzzy control,
- self-tuning,
- expert systems

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References

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Parameters self-tuning fuzzy-PID combined with expert control on wind velocity control system of wind tunnels at home