Application of FPGA in Intelligent Pressure Sensor Systems 7

The simulation of DAS control unit is shown in Figure 4. The picture shows that the control unit is running correctly. 3.3 Software workflow of intelligent sensor system  diode

The error correction and temperature compensation in the system are controlled by the system software. The system software is developed using the software development kit (SDK) in the SoPC Builder tool. The system software process is shown in Figure 5. Power on the system to initialize and start the DAS control unit, select each channel and eliminate random errors in each channel; Then, based on the calibrated values of channel 0 and channel 1, the error correction factor is calculated in real time. The zero drift calibration and gain error are corrected in real time according to the error correction formula (1). Based on the measured working temperature of the sensor, the difference from the standard temperature is calculated. The temperature change coefficient of the sensor is obtained by looking up a table. Finally, the measured pressure data is corrected according to the temperature compensation formula (5), and the data is output. diode

4 Conclusion

In the design process of the system, FPGA is fully utilized to build a flexible system that combines software and hardware development. On the basis of meeting system performance, software and hardware functions are reasonably allocated to simplify the system design. FPGA places systems that were previously implemented by discrete chips on a single chip. The design of this single-chip system greatly improves the stability and reliability of the system, while also enhancing its ability to resist industrial field interference.diode