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对于象ｐＨ中和，高纯度分离以及化学反应等过程的控制，由于其过程本身的严重非线性而变得十分困难．本文提出了一种采用Ｈａｍｍｅｒｓｔｅｉｎ模型的预测控制方法来控制诸如上述的非线性过程．Ｈａｍｍｅｒｓｔｅｉｎ模型用两种方法进行辨识：联立辨识法与序贯辨识法．特别地，本文提示了一种改进型Ｈａｍｍｅｒｓｔｅｉｎ模型用于克服常规Ｈａｍｍｅｒｓｔｅｉｎ模型在控制器设计时的不足之处．对一ｐＨ中和过程的仿真结果表明，基于上述两种Ｈａｍｍｅｒｓｔｅｉｎ模型的预测控制在定值与随动系统情况下均得到了比常规ＰＩＤ调节器要好得多的控制交果．
Control of processes such as pH neutralization, high purity separation and chemical reactions becomes very difficult due to the severe non-linearity of the process itself. This paper presents a predictive control method using the Hammerstein model to control nonlinear processes such as those described above. Hammerstein model is identified by two methods: simultaneous identification and sequential identification. In particular, this paper presents an improved Hammerstein model to overcome the shortcomings of the conventional Hammerstein model in controller design. The simulation results of a pH neutralization process show that the predictive control based on the above two Hammerstein models achieves much better control results than the conventional PID regulators in the case of fixed-value and follow-up systems.