Research On Processing System Of Multivariate Data Based Virtual Instrument

The characteristics of multi-information processing system is analyzed firstly. Then a high-precision digital printing information processing systems is achieved with the information fusion capability of fuzzy neural network and the advantages of the virtual instrument technology. It uses fuzzy neural network, enabling the system to take advantage of a variety of unrelated, non-linear input signals, to obtain the desired output. In addition, virtual instruments technology is introduced durning the process of signal acquisition and control. Because of the directly connecting between software and hadware, the system maintainability and scalability are improved.In the beginning this paper analyses how to combinates the two information processing method, the fuzzy logic systems and neural networks, by studtying the algorithm and characteristic of them. According to the characteristic of Multiple information processing, the improved adaptive fuzzy neural network is introduced after analysing the fuzzy neural network which is based on the fuzzy logic systems and neural networks. At last the improved adaptive fuzzy neural network is selected as the method of Multiple information processing of high-precision digital printing machine.Based on the study, the method of high-precision digital printing machine multiple information processing is achieved through a virtual instrument software platform--LabVIEW. The collection and synchronization of system detected signal is implemented by DAQ acquisition card which is the port between the system and external. After analysing the relust of LabVIEW program, which generated base on the collecting data, the error is pass with the requirement, so the purpose of controlling the motor turning accurately and inprovement of printing quality is achieved.