An improved model predictive control approach based on extended non-minimal state space formulation

作者：Zhang, Ridong^*; Xue, Anke; Wang, Shuqing; Ren, Zhengyun

来源：Journal of Process Control, 2011, 21(8): 1183-1192.

DOI：10.1016/j.jprocont.2011.06.009

• Model predictive control
• State space feedback control
• Extended non-minimal state space model
• Discrete time processes

This paper presents a new design method of model predictive control (MPC) based on extended non-minimal state space models, in which the measured input and output variables, their past values together with the defined output errors are chosen as the state variables. It shows that this approach does not need the design of an observer to access the state information any more and by augmenting the process model and its objective function to include the changes of the system state variables, the control performances are superior to those of the controller that does not bear this feature. Furthermore, closed-loop transfer function representation of the model predictive control system facilitates the use of frequency response analysis methods for the nominal control performances of the system.

• 出版日期2011-9
• 单位杭州电子科技大学; 东华大学; 浙江大学