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首页> 外文会议>ASME/ISCIE international symposium on flexible automation 2012 >Dynamic Characteristic Analysis and Parameter Estimation for a Thermal Plant
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Dynamic Characteristic Analysis and Parameter Estimation for a Thermal Plant

机译：火力发电厂的动态特性分析和参数估计

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摘要

A thermal plant as a controlled system has many state parameters, which cannot be measured directly in many cases. The control efficiency can be improved by applying estimated parameters to the control of the plant. A fluidized-bed incinerator is not constant in the quantity and quality of the feed refuse, which is the fuel, and combustion control is difficult owing to the rapidity of completion of combustion. However, it is thought to be possible to improve the efficiency of CO control and NOx control drastically if the state parameters such as the combustion rate on the upper bed site and the bed site, and the effective air ratio are known. This paper proposes a method that estimates these state parameters by means of sensor outputs such as temperature, air flow rate, and cooling water rate, using dynamic characteristic analysis and neural networks. This paper also shows that it is possible to estimate the state parameters of an actual incinerator. Further, it is shown that the generalization of parameters estimation equations enables the application of the method to other plants.
机译：作为受控系统的热电厂具有许多状态参数，在许多情况下无法直接进行测量。通过将估计参数应用于工厂的控制，可以提高控制效率。流化床焚烧炉的进料垃圾（即燃料）的数量和质量并不恒定，并且由于燃烧的迅速性而难以进行燃烧控制。但是，如果知道诸如上层床位和床层位上的燃烧速率以及有效空气比之类的状态参数，则可以极大地提高CO控制和NOx控制的效率。本文提出了一种使用动态特性分析和神经网络通过传感器输出（例如温度，空气流速和冷却水流速）估算这些状态参数的方法。本文还表明，可以估算实际焚化炉的状态参数。此外，表明参数估计方程的一般化使得该方法可以应用于其他工厂。

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