To overcome the problems of long time-delayed,uncertainty and timevariant of main-steam temperature control object in power plant,a dynamic optimizing method for the fuzzy controller was proposed based on genetic algorithm(GA).
为了克服电厂主蒸汽温度被控对象的大迟延性、模型不确定性和时变性,提出了一种新的基于遗传算法(GA)的动态模糊控制器优化方法。
In order to estimate thermodynamic process which is a model of second-order inertia transfer function plus a time delay,this paper introduces an on-line estimation method based on standard recursive least squares for the estimation of both time delay and other parameters.
为了对典型的热工模型——二阶惯性加纯迟延模型的参数进行在线辨识,介绍并推导了基于递推最小二乘在线辨识算法,对带有纯迟延时间系统进行参数估计。
Through analysis of control system for main steam temperature of imported units, the interior mechanism of large delay, large inertia, time variability, and nonlinearity have to be overcome during the time of taking main steam temperature as the controlled object, has been studied, suggesting recommendations for adjusting .
对引进机组主蒸汽温度控制系统在克服其被控对象的大迟延、大惯性、时变性和非线性的内在机理进行了分析,提出了该控制系统的调整和投运应注意的问题。