A non-minimal state space formulation based predictive functional control design for inverse-response processes

作者：Zhang, Jianming^*

来源：Chemometrics and Intelligent Laboratory Systems, 2014, 139: 70-75.

DOI：10.1016/j.chemolab.2014.09.016

• Predictive functional control
• State space feedback control
• Non-minimal state space model
• Inverse-response processes

In this paper, the design of predictive functional control (PFC) based on non-minimal state space models is proposed for nonminimum phase processes referred to as inverse-response processes. The merits of the proposed method lie firstly in the fact that the measured input and output variables and their past values are chosen as the state variables that avoid the need of state observers. Secondly, by using the formulation of a new state space variable, the resulting PFC control incorporates both the state and output feedback, which further improve closed-loop process responses over previous methods. The performance and robustness of the control system are discussed. A typical example of inverse-response process is given to compare the proposed controller and the previous.

• 出版日期2014-12-15
• 单位浙江大学