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将Hammerstein模型应用于某循环流化床锅炉2个典型系统的辨识,用多项式表示模型的非线性部分,用差分方程表示模型的线性部分,并通过量子遗传算法将模型的辨识问题转化为参数空间上的寻优问题,求得模型中待定参数的最优解,从而得出循环流化床锅炉2个系统的具体模型,并结合现场数据进行了一系列仿真试验.结果表明:Hammerstein模型可以很好地表达循环流化床锅炉典型系统的特性,用量子遗传算法优化可得到精度较高的数学模型.
The Hammerstein model is applied to the identification of two typical systems in a circulating fluidized bed boiler. The nonlinear part of the model is represented by polynomial. The linear part of the model is represented by the difference equation. The problem of identification of the model is transformed into the parameter space by quantum genetic algorithm And find out the optimal solution of the parameters to be determined in the model so as to get the concrete model of two systems of the circulating fluidized bed boiler and carry out a series of simulation experiments with the field data.The results show that the Hammerstein model can be very good Good to express the characteristics of the typical system of circulating fluidized bed boiler, with the genetic algorithm optimization can be obtained with higher precision mathematical model.