scholarly journals Autocovariance-based plant-model mismatch estimation for linear model predictive control

2017 ◽  
Vol 104 ◽  
pp. 5-14 ◽  
Author(s):  
Siyun Wang ◽  
Jodie M. Simkoff ◽  
Michael Baldea ◽  
Leo H. Chiang ◽  
Ivan Castillo ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
Linear Model ◽  
Predictive Control ◽  
Plant Model ◽  
Model Mismatch

Theory and Application of the Lang-Gilles Observer for Distillation Processes

2016 ◽  
Author(s):  
Maxim Stuckert
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Distillation Column ◽  
Simulation Studies ◽  
Multicomponent Mixtures ◽  
Plant Model ◽  
Model Mismatch ◽  
Tray Efficiency ◽  
Full State ◽  
On Line

This thesis deals with the nonlinear full state observer for distillation processes first introduced by Lang and Gilles in 1990. The observer is very attractive in practice as it requires only few temperature measurements in each section of a distillation column and only few observer parameters need to be tuned. We provide conditions under which this observer converges and derive a simple rule for the tuning of the observer parameters. We also give a method for the on-line estimation of the Murphree tray efficiency. Such on-line methods are rarely found in ­literature. In a sequence of simulation studies, we investigate the capabilities of the observer for the estimation of the tray efficiency and for model-predictive control. The simulation studies are based on distillation processes for separation of multicomponent mixtures and one of the studies introduces a plant-model mismatch. ...

scholarly journals Offset-Free Model Predictive Control for Active Magnetic Bearing Systems

Actuators ◽  
2018 ◽  
Vol 7 (3) ◽  
pp. 46 ◽  
Author(s):  
Angelo Bonfitto ◽  
Luis Miguel Castellanos Molina ◽  
Andrea Tonoli ◽  
Nicola Amati
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Low Frequency ◽  
Magnetic Bearing ◽  
Active Magnetic Bearing ◽  
Reference Tracking ◽  
Plant Model ◽  
Disturbance Estimation ◽  
Model Mismatch ◽  
Free Model

This paper presents the study of linear Offset-Free Model Predictive Control (OF-MPC) for an Active Magnetic Bearing (AMB) application. The method exploits the advantages of classical MPC in terms of stability and control performance and, at the same time, overcomes the effects of the plant-model mismatch on reference tracking. The proposed approach is based on a disturbance observer with an augmented plant model including an input disturbance estimation. Besides the abovementioned advantages, this architecture allows a real-time estimation of low-frequency disturbance, such as slow load variations. This property can be of great interest for a variety of AMB systems, particularly where the knowledge of the external load is important to regulate the behavior of the controlled plant. To this end, the paper describes the modeling and design of the OF-MPC architecture and its experimental validation for a one degree of freedom AMB system. The effectiveness of the method is demonstrated in terms of the reference tracking performance, cancellation of plant-model mismatch effects, and low-frequency disturbance estimation.

Plant–Model Mismatch Estimation from Closed-Loop Data for State-Space Model Predictive Control

2018 ◽  
Vol 57 (10) ◽  
pp. 3732-3741 ◽  
Author(s):  
Jodie M. Simkoff ◽  
Siyun Wang ◽  
Michael Baldea ◽  
Leo H. Chiang ◽  
Ivan Castillo ◽  
...  
Keyword(s):  
Model Predictive Control ◽  
State Space ◽  
Predictive Control ◽  
Closed Loop ◽  
State Space Model ◽  
Plant Model ◽  
Space Model ◽  
Model Mismatch
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