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针对循环系统回料量对循环流化床锅炉床温的影响,采用补偿模糊神经网络的建模方法,建立灰循环系统回料控制模型,选取锅炉床温变化及变化率作为输入、回料风量作为输出进行了仿真研究,并与常规控制进行比较.结果表明:补偿模糊神经网络控制器对参数变化的适应性明显优于常规控制器,补偿模糊神经网络方法对灰循环系统控制优化有实际意义.
Aiming at the influence of circulating volume of feed back on the bed temperature of circulating fluidized bed boiler, a model of compensation fuzzy neural network was established to establish the control model of feed back to gray cycle system. The temperature and rate of change of boiler temperature were taken as input, As output, and compared with the conventional control.The results show that the adaptability of the compensation fuzzy neural network controller to the change of parameters is obviously better than that of the conventional controller, and the compensation fuzzy neural network method has practical significance for the control optimization of the gray cycle system .