火电厂热工过程系统辨识方法的研究  

Research on System Identification Methods for Thermal Power Plant Process

作　　者：刘琛[1] 韩璞[1] 孙明[1] 

机构地区：[1]华北电力大学河北省发电过程仿真与优化控制工程技术研究中心,河北保定071003

出　　处：《计算机仿真》2016年第4期283-286,共4页Computer Simulation

基　　金：中央高校基本科研业务费专项资金资助项目(12MS118)

摘　　要：系统辨识是现代控制理论中的一个重要分支,其方法主要分为以最小二乘法为代表的经典算法和以智能控制为代表的现代算法。前者误差的平方和最小,具有良好的静态与动态性能,后者对于大迟延、非线性、扰动频繁的对象有明显的优势,是热工过程控制领域研究热点。在对热工对象进行机理分析的基础上,以火电厂典型热工过程为实际研究对象,从理论的角度研究了如何建立火电厂热力系统的数学模型,基于某发电厂现场实时运行数据,分别采用最小二乘类算法和智能优化相关算法对其参数进行辨识,并且比较、分析了各辨识方法的优缺点,以达到良好的辨识效果。System identification, as an important branch of modern control theory, can be mainly divided into the least squares method representing classical algorithm and intelligent algorithm representing modem algorithm. The former has minimum squared of deviation, and satisfactory static and dynamic performance, while the latter has obvi- ous advantage especially for the objects with large delay, nonlinearity, and frequent disturbance and has become re- search hotspot in thermal process control field. This paper researches on how to build mathematical model for power plant thermal system from a theoretical point based on mechanism analysis of thermal objects. A typical thermal process is respectively identified by using least squares method and intelligent algorithm based on real - time operational data in a power plant. In order to obtain better identification result, the advantages and disadvantages of the two methods are compared and analyzed.

关 键 词：热工过程 系统辨识 最小二乘法 智能控制算法 

分 类 号：TM621[电气工程—电力系统及自动化]