| 基于混合差分进化算法的软测量时延参数估计 | |
| 王钧炎 ; 黄德先 ; WANG Junyan ; HUANG Dexian | |
| 2010-05-12 ; 2010-05-12 | |
| 关键词 | 混合差分进化 软测量模型 时延估计 偏最小二乘 hybrid differential evolution algorithm soft-sensor model time delay estimation partial least-squares TP274 |
| 其他题名 | Time delay estimation of soft-sensor model based on hybrid differential evolution algorithm |
| 中文摘要 | 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。; 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. |
| 语种 | 中文 ; 中文 |
| 内容类型 | 期刊论文 |
| 源URL | [http://hdl.handle.net/123456789/28850]  |
| 专题 | 清华大学 |
| 推荐引用方式 GB/T 7714 | 王钧炎,黄德先,WANG Junyan,等. 基于混合差分进化算法的软测量时延参数估计[J],2010, 2010. |
| APA | 王钧炎,黄德先,WANG Junyan,&HUANG Dexian.(2010).基于混合差分进化算法的软测量时延参数估计.. |
| MLA | 王钧炎,et al."基于混合差分进化算法的软测量时延参数估计".(2010). |
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