Affiliation:
1. Hunan University of Science and Technology
2. SANY Heavy Industry Co., Ltd
Abstract
Aimed at time lag, time variant, serious inertia, nonlinearity problems and the difficulty of PID controller parameters adjusting, the combination of PID control and fuzzy control was put forward, this paper introduces a kind of design of adaptive fuzzy PID dust collection system of constant pressure with regarding the pressure of the deviation and the rate of change of deviation as the input variables in the ventilation pipe. The three parameters of PID controller can be adjusted by establishing the fuzzy control rules and practicing the fuzzy generalize. The experiment simulation and the practical test show that the response of the system with adaptive fuzzy PID control is much faster than the tradition PID control but the overshoot is lower and quickly achieve the steady-state.
Publisher
Trans Tech Publications, Ltd.
Reference6 articles.
1. LI JingZhao, TANG WenBing, GU RongRong. Fuzzy PID Control Based on PLC and Application in the Ventilator Wind Rate Regulation System [J], Journal of Southern Yangtze University (Natural Science Edition), 2006 (8) : 422-426.
2. YU Ying, REN QingChang, LUO MingZhong, et al. VAV Air - Conditioning System Based on Fuzzy Adaptive Control [J]. journal of Low voltage electrical, 2009 (6) : 30-34.
3. Tung E D, Tomziuka M, Urushisaki Y. High-speed end milling using a feed forward control architecture [J]. ASME J. of Manufacturing Science and Eng., 1996, 118(2): 178~187.
4. Rahman M A, Hoque M A. On-line adaptive artificial neural network based vector control of permanent magnet synchronous motors [J]. IEEE Trans. on Energy Conversion, 1998, 13(4): 311~318.
5. Rubaai A, Kotaru R. Online identification and control of a DC motor using learning adaptation of neural networks [J]. IEEE Trans. on Industry Applications, 2000, 36(3): 935~942.