基于FPGA的冷轧板形检测仪实时信号采集处理系统设计

发布时间：2018-01-06 03:41

本文关键词：基于FPGA的冷轧板形检测仪实时信号采集处理系统设计　出处：《燕山大学》2016年硕士论文　论文类型：学位论文

【摘要】：冷轧板带板形在线测量是现代轧制系统中关键的测量仪器之一,而该方面的技术一直掌握在西门子、ABB等国外大公司手里,国内在板形在线检测方面的技术研究还存在较多问题需要解决。鉴于上述原因,本文提出了采用FPGA技术对一种压电式板形检测仪进行在线信号采集与处理的方案,对板形信号实时检测与处理技术开展了深入的理论与实验研究,主要内容包括:首先,在查阅大量国内外现状的基础上,对冷轧板带板形检测仪的关键技术和存在的问题进行了综述,并在此基础上提出了基于FPGA的板形在线检测与信号处理方案;其次,设计了板形检测仪信号采集与处理系统的硬件电路,包括信号放大、滤波、AD转换、FPGA主系统以及以太网接口电路等;然后,采用Verilog语言编程实现了对多路应力信号的并行采样控制。设计了基于加法树结构的FIR低通滤波器,和W5200以太网控制器的驱动程序。最后,对所设计板形仪信号处理系统进行了验证,结合Matlab和Modelsim软件对FIR低通滤波器模块进行了仿真验证,并对系统的采样结果进行了标定实验,及在板形仪性能综合测试平台上对系统进行了在线检测,并对实验结果及误差进行了分析。
[Abstract]:On-line measurement of cold rolled strip shape is one of the key measuring instruments in modern rolling system, and the technology in this field has been held in the hands of Siemens ABB and other large foreign companies. In China, there are still many problems to be solved in the field of on-line flatness detection, in view of the above reasons. In this paper, an on-line signal acquisition and processing scheme for a piezoelectric flatness detector using FPGA technology is proposed, and a deep theoretical and experimental study on the real-time detection and processing technology of flatness signal is carried out. The main contents include: firstly, on the basis of consulting a large number of domestic and foreign present situation, the key technology and existing problems of the cold-rolled strip shape detector are summarized. On the basis of this, the on-line flatness detection and signal processing scheme based on FPGA is put forward. Secondly, the hardware circuit of signal acquisition and processing system of flatness detector is designed, including signal amplification, filter AD converter FPGA main system and Ethernet interface circuit. Then, the parallel sampling control of multi-channel stress signal is realized by using Verilog programming language, and the FIR low-pass filter based on additive tree structure is designed. And W5200 Ethernet controller driver. Finally, the designed flatness instrument signal processing system is verified. Combined with Matlab and Modelsim software, the FIR low-pass filter module is simulated and validated, and the system sampling results are calibrated. The system is tested on the platform of flatness instrument, and the experimental results and error are analyzed.
【学位授予单位】：燕山大学
【学位级别】：硕士
【学位授予年份】：2016
【分类号】：TG334.9;TP274.2

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