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作 者:张雷[1] 牛玉广[1] 淮小利[2] 马杏斋[1]
机构地区:[1]华北电力大学控制科学与工程学院,河北保定071003 [2]河北大学电子信息工程学院,河北保定071002
出 处:《华北电力大学学报(自然科学版)》2008年第2期51-56,共6页Journal of North China Electric Power University:Natural Science Edition
基 金:国家自然科学基金资助项目(50576022)
摘 要:针对热工对象的特点和复杂的工业控制环境,以三种典型的热工模型为例,采用遗传算法进行仿真辨识,有效地克服了噪声的干扰,达到较好的参数一致性估计。在仿真实验的基础上,为了实现理论辨识方法的工程实用化,利用Matlab的强大运算功能和LabVIEW的动态显示和虚拟仪器特性,通过混合编程开发了一套集数据采集和处理、参数辨识、结果分析为一体的辨识系统平台。该平台操作简便、工程移植性强,利用该平台在双容水箱上作实验研究,其结果表明该平台是进行辨识实验研究的有效工具,为以后应用到其他领域打下了基础。Aiming at the special features of the thermal processes and the complex control environment of the industry, the genetic algorithm was put forward to identify three kinds of typical models of the thermal processes. Doing so, it does not only get the accurate identification results, but also effectively overcome the noise interference. On the basis of the simulation experiment, in order to make the identification theory practical, using the large operation function of Matlab and suing the dynamic display and dummy character of the LabVIEW, a identification platform was designed and compiled. The platform can collect and process the data, identify the parameter of model, analyse the results. It could be manipulated simply and replanted to other domains. Using the platform to operate on the double - hold water tank. The results show that this platform is an efficient tool to the experiment research and this makes the basis of using the platform to other domains.
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