中文摘要：

将Harnmerstein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．

英文摘要：

Hammerstein models were used to identify two typical systems of a circulating fluidized bed （CFB） boiler, of which the nonlinear and linear parts were respectively expressed by polynomials and difference equations, and the identification problems of models were converted into the optimization search ing in parameter space using quantum genetic algorithm （QGA）. Optimal solutions of unknown parameters were solved so as to obtain specific models of the two systems in the CFB boiler. Moreover, a series of simulation experiments were performed with field data. Results show that Hammerstein models can well express the characteristics of typical systems in CFB boilers, and mathematical models of high precision can be obtained by using quantum genetic algorithm to optimize the parameters.