The Research For Position Servo Intelligent Control Method In Particleboard Hot-pressing

With the shortage of wood resources, people are increasingly paying attention to wood-based panel production. Particleboard has brought about new opportunities and challenges to the development of particleboard industry by its own advantages. In particleboard production process, hot-pressing is one of the most important processes. It directly influences the quality and the yields of the final board products. To particleboard hot-pressing process as the research object, this paper respectively from two aspects of the slab heat and mass transfer and the position servo control have been studied.It is difficult to measure the slab core temperature in the actual production. Through self-learning ability of Back Propagation neural network and training of existing experimental data, this sets up a model of forecast the thermal conductivity under various conditions. In order to improve the prediction precision, Extreme Learning Machine is introduced into this model. At the same time, this research has a certain significance in the future actual production.According to some phenomena such as non-linear characteristic, the special process requirements of steady control without overshoot, and base on the principle of the pressing machine, we adopt the fuzz self-tuning strategy to control the slab thickness. The method can improve control precision and stabilization of the electro-hydraulic position servo system, which by fuzzy optimization implement parameters online self-tuning.MATLAB computer simulation verifies the theoretical results. First of all, compared with the conventional PID controller, the fuzzy adaptive controller in the case of the initial value can be fast stable and no oyershoot response, which markedly improved the particleboard hot-pressing control accuracy and stability in the servo control system. Hot-pressing control not only should consider the location of a single control process, but also should take account of the heat and mass disturbance effect within the slab. Therefore, the system increased thermal mass anti-disturbing fuzzy module. The simulation results show that the addition of anti-disturbing fuzzy module, the position servo control system significantly enhanced anti-disturbing capability and improved the quality of the final particleboard products.