Parameters self-tuning fuzzy-PID combined with expert control on wind velocity control system of wind tunnels at home
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摘要: 介绍北京航空航天大学D-4低速风洞风速控制系统的结构、控制原理和性能特点.为了解决低速风洞风速控制系统建模困难、控制系统复杂、易受外界影响,且自身参数时变不确定、控制难度大的特点,采用了模糊PID调节算法结合专家判断组成专家-模糊智能控制器的方法控制风速.现场调试运行结果表明:这种方法解决了常规PID不能在线进行参数自整定的问题,不仅具有PID控制器高精度的优点,又具有模糊控制器快速性、稳定性、鲁棒性高的特点,并且具有良好的动、稳态特性,可满足低速风洞风速控制要求.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.
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Key words:
- wind tunnels /
- wind velocity control /
- fuzzy control /
- self-tuning /
- expert systems
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[1] 尹迪义,竹朝霞,惠曾宏. 风洞稳速压模糊控制系统[J]. 流体力学实验与测量, 1998,12(2):94- 96 Yin Diyi, Zhu Zhaoxia, Hui Zenghong. The pressure-speed fuzzy control system of wind tunnel at home[J] . Journal of Experiments in Fluid Mechnics, 1998, 12(2):94-96(in Chinese) [2] Zhao Zhenyu. Fuzzy gain sheduling of PID controllers[J]. IEEE Transactions on Systems Man and Cybernetics, 1993, 23(5):1392-1398 [3] 刘金琨. 先进PID控制MATLAB仿真[M]. 北京:电子工业出版社,2005: 94-98 Liu Jinkun. Advanced PID control and MATLAB simulation [M].Beijing: Electronics Industry Press,2005:94-98(in Chinese) [4] 王立新. 模糊系统与模糊控制[M]. 北京:清华大学出版社,2006: 206- 210 Wang Lixin. Course in fuzzy systems & control[M].Beijing: Tsinghua University Press, 2006: 206-210 (in Chinese) [5] Silva C W. Fuzzy adapation and control of a class of dynamic systems[J].IEEE Inteligent Control, 1990, 1(5):304-309
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