A nonlinear optimal control approach for the pulping process of paper mills

作     者：Rigatos, G. Abbaszadeh, M. Cuccurullo, G. Siano, P. 

作者机构：Ind Syst Inst Unit Ind Automat Rion 26504 Greece Gen Elect GE Global Res Niskayuna NY USA Univ Salerno Dept Ind Engn Fisciano Italy Univ Salerno Dept Innovat Syst Fisciano Italy 

出 版 物：《IET COLLABORATIVE INTELLIGENT MANUFACTURING》 (IET Collab. Intell. Manuf.)

年 卷 期：2021年第3卷第2期

页      面：161-174页

核心收录：

基　　金：Unit o Industrial Automation/Industrial Systems Institute Advances in Applied Nonlinear Optimal Control 

主　　题：stability properties state-space model algebraic Riccati equation multivariable control systems Lyapunov analysis paper mills nonlinear multivariable pulping process nonlinear optimal control approach Riccati equations first-order Taylor series expansion Jacobian matrices nonlinear control systems linearisation techniques stability stabilizing H-infinity feedback controller approximate linearization pulp manufacture iterative methods feedback controller feedback gains Lyapunov methods control system synthesis state-space methods manufacturing processes approximately linearized description iterative control algorithm 

摘      要：The mechanical pulping process is non-linear and multivariable. To solve the related control problem, the dynamic model of the pulping process undergoes first approximate linearization around a temporary operating point which is updated at each iteration of the control algorithm. The linearization process relies on first-order Taylor series expansion and on the computation of the Jacobian matrices of the state-space model of the pulping process. For the approximately linearized description of the pulping process, a stabilizing H-infinity feedback controller is designed. To compute the controller s feedback gains, an algebraic Riccati equation is solved at each time-step of the control method. The stability properties of the control scheme are proven through Lyapunov analysis.