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运用计算机神经网络算法,结合单片机设计了基于计算机神经网络的电阻炉温度PID控制,实现电阻炉温度的和电阻炉输入功率控制和连续调节,较大程度地增加被控温度的技术性能指标。仿真及运行结果表明,系统的适应能力更强,控制效果稳定、快速、无超调,能够满足铸造工艺的需求。
Using computer neural network algorithm, combined with single chip computer designed resistance furnace temperature PID control based on computer neural network to achieve resistance furnace temperature and resistance furnace input power control and continuous adjustment, to a greater extent to increase the temperature controlled technical performance indicators. Simulation and operation results show that the system has stronger adaptability, stable and rapid control effect, no overshoot and can meet the needs of the foundry process.