In this work, a linear offset-free economic model predictive controller (EMPC) is proposed for systems in the presence of model mismatch. The method constituted by a dynamic target optimization (DTO) stage and the following EMPC stage. These two stages work in a bidirectional way. The DTO ...
(2009). Linear offset-free model predictive control.Automatica,45(10), 2214-2222. abstract This work addresses the problem of offset-free Model Predictive Control (MPC) when tracking an asymptotically constant reference. In the first part, compact and intuitive conditions for offset-free MPC ...
Irrigation or drainage canals can be controlled by model predictive control (MPC). Applying MPC with an internal model in the presence of unknown disturbances in some cases can lead to steady state offset. Therefore an additional component should be implemented along with the MPC. A new method ...
Offset-free model predictive control of a vapor compression cycle This work describes the application of an offset-free model predictive controller (OF-MPC) to a vapor compression cycle (VCC). To this end, first a linear ... Matt,Wallace,Buddhadeva,... - 《Journal of Process Control》 被...
controller.Anexampleofthecontrolofacontinuousstirredtankreactorispresented. TopicalHeading:Processsystemengineering KeyWords:Modelpredictivecontrol,constraints,offset-freecontrol,tracking,robustcontrol. 2 Introduction Thecontrolofsystemsinthepresenceofconstraintsisanimportanttaskinmanyapplicationfieldsbecausecon- strain...
This paper develops an offset free tracking model predictive control based on a dynamic partial least square (PLS) framework. First, state space model is used as the inner model of PLS to describe the dynamic system, where subspace identification method is used to identify the inner model. Base...
Model predictive control (MPC) [4] is the most widely used advanced control theory. It has three features: predictive model; rolling optimization, and; feedback correction. Due to the advantages of dealing with multivariable control and constraints [5], MPC has many successful applications. The ...
by constructing a predictive data analysis algorithm based on a model of the remote production and/or network system and that makes predictions based on evidence, e.g. previously monitored patterns in the LSET for a specific group in the presence of uncertainty. A supervised learning algorithm tak...
Offset-free model predictive control (MPC) algorithms for nonlinear state-space process models, with modeling errors and under asymptotically constant external disturbances, is the subject of the paper. A brief formulation of the MPC formulation used is first given, followed by a brief remainder of...
In addition, time delay in digital control also affects the performance, and even stability of MPC. In this paper, an offset-free robust model predictive control (OFR-MPC) method is proposed for the current control of three-phase induction motor (IM). An incremental model is adopted to ...