Research and Design of FPGA Embedded System

Abstract

Facing the huge domestic demand, the current relatively backward status of my country’s automatic quantitative measurement control instrument technology urgently needs to be changed. How to improve the measurement accuracy and measurement speed at the same time has always been one of the problems to be solved by factories, enterprises and research fields. Under this background, this paper designs a dual processor dynamic measurement system based on FPGA. This system has dual processors to share different control links and work on the same chip. Compared with the currently widely used single processor structure products, it has a higher processing capacity while significantly reducing costs. This paper optimizes the design of the FIR digital filtering algorithm based on FPGA, and uses a combination of software and hardware to carry out system integrity design, design process analysis, application module design of each internal system, and optimized programming of each functional module such as FIR digital filtering. Software design, configure the system NiosII soft core, construct a design scheme based on FPGA and digital filter system, and implement the design scheme with FPGA. Through careful research on the compound sampling filter algorithm and the drop compensation method, this article builds an experimental platform for the system, selects Cyclonell EP2C8 as the main chip, and two NiosIIl soft cores as processors, realizing high-precision real-time measurement of powder-like materials, Achieved good results, and laid the foundation for further research in the future. The experimental results show that the 9-bit embedded multiplier used in this paper occupies 4 of the total 36; the global clock resource occupies 6 and the utilization rate is 75%. The above results fully show that the system makes good use of FPGA EP2C8 resources.