电弧加热器运行参数预测的比例追踪法

Proportional tracking method for predicting operating parameters of arc heater

  • 摘要: 目前基于试验人员经验的方法调试电弧加热器运行参数,调试车次多,效率低。基于能量守恒方程、电压经验公式、音速焓公式、驻点焓公式提出了一种预测电弧加热器运行参数的工程算法——比例追踪法。试验数据回测表明,模拟的焓值与基准焓值比例、气流量与基准气流量比例平均在1.5范围内时,预测的电流、电压、气流量偏差在10%左右,并适用于不同的加热器内径、长度及模型类型。真实的试验状态调试表明,使用该方法迭代2次后,预测结果与实际结果偏差不超过4%,采用该方法辅助状态调试,每个状态所需的运行次数约2~3次,明显低于人工经验调试的运行次数(约4~5次),说明该方法在试验状态调试中具有较好的指导作用。

     

    Abstract: Current empirical parameter debugging methods for arc heaters rely heavily on operator experience, requiring numerous test runs and demonstrating low efficiency. A method called proportional tracking method is proposed to predict the operating parameters of arc heaters, based on the energy conservation equation, empirical voltage formula, sonic enthalpy formula, and stagnation enthalpy formula. Existing experimental data backtesting has shown that when the ratio of the simulated enthalpy value to the reference enthalpy value and the ratio of the air flow rate to the reference air flow rate are within a range of 1.5 averagely, the prediction deviation of the current, voltage, and gas flow rate is within 10%, for different arc heater inner diameters, lengths, and model types. The real experimental state debugging shows that after iterating twice with this method, the deviation between the predicted results and the actual results does not exceed 4%. Using this method to assist in state debugging, the required number of runs for each state is about 2~3, which is significantly lower than the number of runs for manual experience debugging(about 4~5), demonstrating the method's strong guidance value in experimental parameter optimization.

     

/

返回文章
返回