The Research Of Three-dimensional Molding System In Four Axes Linkage Control And Dual Temperature Prediction Feedback

Three-dimensional molding as a kind of rapid molding technology, has become the emerging technology in modern manufacturing industry production chain. It is widely applied to all walks of life. Scholars at home and abroad and the research of three dimensional molding machine company more committed to the expansion of the application fields and the development of software and hardware. The study of three dimensional molding machine control system is shown slightly shortfalls. Thus improve and enhance the accuracy of the three-dimensional molding machine control system and its stability is necessary.Based on the desktop level three-dimensional molding machine as the research object,according to the working principle of machine design the XYZP four axis movement way, set up a desktop level standard three-dimensional molding system. The entire three-dimensional molding system including 3 D modeling, graphics, slicing, molding control. Its control subsystem mainly includes four axis stepper motor motion control and the bed and hot nozzle double temperature prediction feedback control. First in three-dimensional molding system, on the basis of overall design, choose specific control device used in the system, mainly including the bed and hot nozzle temperature sensors, four axis stepper motor, the main control chip,display module and fan, etc, In addition to the periphery of the main control chip control circuit and so on has carried on the design; Secondly for three-dimensional molding machine motion control system in the poor adaptability of PID control parameters which influence the effect of forming problem, XYZP four axis motion control system model is established, and put forward the use of BP neural network algorithm for the real-time parameter setting.Through real time setting of PID parameters of BP neural network approach for four axis movement is optimized coordination control; Then for the bed and hot nozzle doubletemperature control system of time-varying and hysteretic effect of the forming and heat the influence of nozzle life, a method dual temperature prediction feedback mechanism is proposed based on least squares support vector machines(LS- SVM) to improve the hysteretic effects of double temperature control system; In the software analysis and debugging, the three-dimensional molding system each link related to the specific software is analyzed and the parameter setup instructions. To control the main forming software has carried on the detailed description of debugging and through the concrete model of system verified the feasibility of the experiment, molding results comply with the design requirements.Proposed in this paper, based on the BP neural network optimal coordinated control of four axis movement, after setting to PID parameters in real time, improve the effect of the system forming, enhance the adaptability and stability of the system. In terms of dual temperature control, the proposed prediction based on least squares support vector machine(SVM) feedback mechanism, improve the hysteresis of the temperature control system, extend the service life of the hot nozzle. The above two measures put forward for the improvement of the three-dimensional molding machine in the aspect of control and improve to provide a theoretical basis.