摘要
将单输入单输出的Ｈａｍｍｅｒｓｔｅｉｎ模型推广至多输入多输出系统，提出了广义Ｈａｍｍｅｒｓｔｅｉｎ模型，并给出了其辨识建模方法．进一步以此模型为基础，提出了一种多变量非线性预测控制算法．该算法利用了线性预测控制的成果，避免了通常非线性模型预测控制所需的在线数值寻优计算，大大节约了在线计算时间、提高了算法的可靠性和稳定性．
The SISO Hammerstein model is extended to MIMO system.The generalized Hammerstein model and its identification method is proposed.Further,based on that model,a multivariable nonlinear predictive control algorithm is presented.The algorithm employs the result of the linear predictive control and doesn′t need on-line numerical optimizing which is necessary in general nonlinear predictive control.That greatly decreases on-line computing comsumption,strengthens the reliability of the algorithm and the stability of the system.The simulation experiment in 2-input 2-output CSTR shows that the proposed algorithm is effective to the multivariable nonlinear process control.
出处
《暨南大学学报（自然科学与医学版）》
CAS
CSCD
1998年第1期13-19,共7页
Journal of Jinan University(Natural Science & Medicine Edition)
关键词
预测控制
非线性系统
H模型
工业过程控制
predictive control
multivariable system
generalized Hammerstein model
CSTR
