基于 FPGA的甲醇转化炉温度神经网络控制系统

摘要

Based on combining the neural network with PID control,a FPGA-based NN temperature control system for methanol conversion furnace temperature was designed and the system ’s hardware and software structure were presented,including its simulation model established with Simulink.The results prove the sys-tem’s stable and dynamic characteristics,strong anti-interference and robustness.%将神经网络与 PID控制相结合，设计出一种基于 FPGA 的神经网络 PID 温度控制系统。给出了系统的软、硬件结构，并利用 Simulink仿真软件建立仿真模型。结果表明：基于 FPGA的神经网络 PID控制器具有较理想的系统稳态与动态特性，系统抗干扰能力强、鲁棒性好。