Ceramic Pressure Motor Beam Control System Research And Its Development Of The Intelligent Controller

Automatic hydraulic ceramic tile press is the most important equipment in the ceramic tile production line, its performance is directly related to the quality and production efficiency of the ceramic tiles, the key technology of the hydraulic system and its control section. YP Series Foshan HENGLITAI, ceramic tile press as an object of study, research activities beam hydraulic control system, and application of dynamic beam control system, a new type of intelligent controller based on PID neural network development, to achieve its high-precision high-speed control.The paper describes the automatic hydraulic ceramic tile press of work structure and layout, working principle, the main features and action program, analyzes the status quo and development trend of domestic and foreign ceramic tile press, PID neural network and neural network adaptation research and development situation and development trend. Detailed analysis of the the YP400 ceramic tile press to suppress circulating part of the hydraulic circuit, and have carried out a detailed analysis of the moving beam downstream pressure, exhaust, packing and moving beam return action, including all actions related to valve and the state of the electromagnet. The proportion of the presses used by the cartridge valve working principle and mathematical modeling. Through the hydraulic circuit of the moving beam simplifies the establishment of the mathematical model of the valve cylinder oneIn order to better control of the ceramic tile press to achieve high-precision high-speed effects. The thesis of PID neural network, a new type of intelligent controller, PID neural network characteristics of the structure prior to the algorithm and back propagation algorithm, introduced its single-variable control system, control system structural characteristics and stability analysis. PID neural network based on variable step thinking and YP Series presses characteristics to be improved, with the adaptive control technology combination of hair out of the new, applicable to the YP series and large presses, high inertia intelligent controller system. The controller through the corresponding increase or decrease the neurons that correspond to enhance or weaken the proportional, integral and differential role of the controller to achieve its tracking capability of the system error, the adaptive control.Combination of paper theoretical analysis and simulation to establish a simulation model based on simulink, simulink simulation and analysis by a mathematical model the design of PID neural network adaptive controller; combined with the simulation model of the amesim co-simulation of Simulink-amesim study. Based on the concept of combining theory and practice in the full theory and simulation analysis on the basis of experimental verification, the YP3500 ceramic brick press on. Simulation and experimental results show that the controller can track the error, the error adjusted for changes in controller output in order to achieve the adaptive control of the control object.