改进的广义预测控制算法在热力站控制中的应用  

Improvement of the generalized predictive control algorithm in thermal station control application

作　　者：邹翔[1] 崔宝侠[1] 顾鹏[2] 

机构地区：[1]沈阳工业大学信息工程学院 [2]中国人民解放军65521部队

出　　处：《电子设计工程》2013年第5期94-96,共3页Electronic Design Engineering

摘　　要：在集中供暖的热力站控制系统中,由于被控对象本身具有非线性、纯滞后、参数时变等特点,常规的PID控制器难以达到理想的温度控制效果。结合广义预测控制的优点,本文提出了一种基于遗忘因子递推增广最小二乘法的广义预测控制的算法。首先介绍了该算法的原理和控制器的设计方法,然后在系统参数突变的情况下进行了仿真研究.仿真结果表明该算法具有动态响应快、超调量小,稳态精度高的特点,而且稳定性和鲁棒性良好,适用于参数变化的大滞后热力站控制系统。In the centralized heating substation control system,it is difficult for general PID controller to controlled object with nonlinear,large time-delay and time-varying characteristics,Combined with the advantages of generalized predictive control, this paper puts forward a forgetting factor based on recursive augmented least squares method of the generalized predictive control algorithm.Firstly,the principle of the algorithm and the design method of the controller are introduced in the paper,and then the simulation in the case of system parameter mutation is researched.The simulation resullts show that this algorithm has the advantages ,which,the dynamic response is fast ,the overshoot is small and the steady-state accuracy is high ,and the stability and robustness is good,suitable for heating substation control system with parameters-varying and large time-delay properties.

关 键 词：最小二乘法 算法简化 广义预测控制 热力站 

分 类 号：TM615[电气工程—电力系统及自动化]