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The Research for Position Servo Intelligent Control Method in Particleboard Hot-pressing

Author: WeiYingYing
Tutor: LiuYaQiu
School: Northeast Forestry University
Course: Applied Computer Technology
Keywords: Particleboard pressing Fuzzy Adaptive position servo control Thermal mass disturbances BP neural network ELM algorithm
CLC: TS653.5
Type: Master's thesis
Year: 2011
Downloads: 46
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Abstract


With the shortage of forest resources , the production of wood-based panel board production enterprises has received the full attention . Particleboard production and use of its various advantages , the development of enterprises to particleboard production has brought unprecedented opportunities. Particleboard affecting the quality of the final product sheet important step is pressing step . Thesis particleboard hot-pressing process as the research object , respectively, from the internal heat and mass transfer slab and hot position servo control two aspects of in-depth study . Core slab as the actual production is difficult to measure the temperature , this means BP (Back Propagation) neural network self- learning ability , the experimental data through training , to predict the thermal parameters of the slab core slab core temperature to derive . With improved ELM (Extreme Learning Machine-ELM) algorithm to further improve the prediction accuracy. Thermal conductivity of the obtained prediction method can improve the real-time actual production of hot control processes. After studying the hot press related work based on the principle , in order to control the object particleboard pressing machine , pressing position control for the presence of non-linear characteristics and smooth without overshoot control special process requirements, proposed fuzzy adaptive control methods to control the thickness of the slab . In this method, fuzzy optimization input parameters on hot -line self-tuning controller implementation , improved particleboard pressing machine controller's control. Through MATLAB computer simulation to verify the theoretical results . First with the conventional PID controller position servo verified by comparing the position of the fuzzy adaptive servo controller in a different set of circumstances can achieve initial stability and fast response without overshoot significantly enhance the position of the servo particleboard pressing machine control system stability and control precision. Hot pressing machine control should not consider the position of a single control , hot pressing process should take full account of heat and mass disturbances on the slab internal environment. Therefore, in the control system to increase the anti-disturbance fuzzy module . The simulation results show that the addition of anti- disturbance fuzzy module, position servo control system significantly enhanced anti-jamming capability , improve the quality of the final sheet products .

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CLC: > Industrial Technology > Light industry,handicrafts > Wood processing industry,furniture manufacturing industry > Processing > Wood-based panel production > Waste material system board
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