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    The experiment result shows that the temperature deviation can be controlled within ±0.05 ℃ after the software calibration.
    实验结果表明,软件校正后显示温度的偏差可控制在±0.05℃。
    Real time cntrol results indicate: temperature control effect of the proposed algorithm is better than that of the instrument PID regulator, temperature deviation and temperature distribution nonuniformity in the furnace are less than ±3℃.
    实时控制结果表明:本算法的控温效果优于常规仪表PID控制,炉温控制精度和温度场不均匀度均在±3℃以内。
    The result show, the rising/falling speed exceed the requirement 0.5C/s and 0.3C/s respectively. The accuracy of temperature control is +0.2C. Actually, in steady state, during operation in hot embossing, the temperature deviation in the part of chip is less than +0.1C.
    实验结果表明,升/降温速度分别超过要求的0.5℃/s和0.3℃/s,温度控制精度为±0.2℃,经测量,在热压过程的恒温段,芯片部位的实际温度偏差小于±0.1℃。
    The proposed algorithm has also been applied successfully to a temperature control system of a 2 input/2 output electric heated furnace. Real time control result shows that temperature deviation of the furnace is less than + 1.5℃/300℃ which is better than that of digital PID regulator.
    并将其应用于一双输入/双输出的力学持久机电加热炉的温度控制系统上,获得了满意的结果:控温精度为±1.5℃/300℃,且适用于非最小相位系统。
    With a mathematical model-based system,fuel savings are maximized and heating quality is improved. The discharging billet temperature deviation from target is within 15℃.
    这种模型系统不仅能够最大程度地节能,而且保证了出钢温度的准确控制,结果表明:出炉钢坯温度与目标出炉温度偏差小于15℃.
    By using the exhaust gas temperature deviation of the middle windbox as the feedforward input, the feedforward control variable is obtained through fuzzy alogrithm.
    以中部风箱废气温度变化为前馈输入 ,通过模糊算法得到前馈控制量。
    As the temperature deviation at leading end and tail of the hot strip is larger than other parts. The fuzzy self adjustable PID parameter controller can be used to control hot strip coiling temperature.
    针对热轧带钢头部和尾部温度偏差较大的情况 ,将模糊自整定 PID参数控制器用于控制热轧带钢卷取温度。
 

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