Analysis of possible reasons of erronious identificationof the dynamic parameters of a controlled thermal plant

S. Inosov, O. Bondarchuk
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Abstract

For optimal adjustment of the temperature regulator, it is necessary to know the dynamic properties of the controlled plant, which are mainly obtained from an experimen, in the procedure of identifying the dynamic parameters of the controlled plant. The purpose of the study is to analyze possible causes of erronious identification of dynamic parameters of the plant. A possible mistake may be an unsuccessful selection of parameters, being identified. Their necessary and sufficient list includes static coefficient of transmission, the main and additional time constants, time delay. Possible strong nonlinearity of the actuator should be taken into account to compensate it in calculations. During the experiment, it is desirable not  to allow large temperature deviations from the normal operating mode, to avoid the influence of possible small nonlinearity of the controlled plant. To process the results of the experiment, verified universal automatic optimization algorithms should be used. As a minimization criterion, it is recommended to use the logarithm of the mean square deviation between the experimental temperature oscillogram and the corresponding calculated oscillogram on the model. If, as the result of identification, equal or close values of the main time constants are obtained, this may be the result of a fault of the automatic search procedure, which is "stuck" in a local minimax. The values should be divercified, to help the automatic optimizer.
受控火电厂动态参数辨识错误的可能原因分析
在确定被控对象动态参数的过程中,为了实现温度调节器的最优调节,需要了解被控对象的动态特性,而这些特性主要是通过实验得到的。本研究的目的是分析对装置动态参数辨识错误的可能原因。一个可能的错误可能是被识别的参数选择不成功。它们的必要和充分列表包括静态传输系数、主要和附加时间常数、时间延迟。在计算中应考虑执行机构可能存在的强非线性,对其进行补偿。在实验过程中,希望不允许与正常工作模式有较大的温度偏差,以避免被控装置可能出现的小非线性的影响。为了处理实验结果,需要使用经过验证的通用自动优化算法。作为最小化准则,建议使用模型上实验温度示波图与相应计算示波图的均方差的对数。如果作为识别的结果,获得的主要时间常数值相等或接近,这可能是自动搜索过程出现故障的结果,该过程“卡在”局部极大极小中。值应该多样化,以帮助自动优化器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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