基于混合差分进化算法的软测量时延参数估计

WANG Junyan; HUANG Dexian

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基于混合差分进化算法的软测量时延参数估计

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- 基于混合差分进化算法的软测量时延参数估计
- CIESC Journal Issue 8, (2008)
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- Online First：05 August 2008，
  
  Published：05 August 2008
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WANG Junyan, HUANG Dexian. 基于混合差分进化算法的软测量时延参数估计[J]. CIESC Journal, 2008, (8).
DOI：

WANG Junyan, HUANG Dexian. 基于混合差分进化算法的软测量时延参数估计[J]. CIESC Journal, 2008, (8). DOI：

摘要

时延参数估计是系统控制与信号处理的关键问题。通过构造一个适当的适应度函数，将软测量系统的时延参数估计问题转化为一个多维非线性优化问题，然后利用混合差分进化算法的全局搜索能力求解该优化问题。对两个典型问题进行了仿真实验，仿真结果表明了混合算法的有效性和鲁棒性。以石油炼制工业中典型装置常压塔为例，对其一线航空煤油的闪点软测量进行了应用验证，结果表明，时延参数估计的引入大大提高了软测量模型的精度，证实了混合差分进化算法的有效性。

Abstract

Time delay estimation is one of the most important issues in system control and signal processing.Through establishing an appropriate fitness function

the time delay estimation of soft-sensor model could be formulated as a multi-dimension nonlinear functional optimization problem

which could be solved by hybrid differential evolution (HDE) algorithm.Numerical simulation results on two benchmarks demonstrated the effectiveness and robustness of HDE.Taking a crude atmospheric distillation unit in oil refinery as an example

a numerical application of the soft-sensor model for the kerosene flash point was made.The application results demonstrated that the accuracy of soft-sensor model was greatly improved with the introduction of time delay estimation.Besides

the effectiveness of the proposed HDE was confirmed.

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