scholarly journals Offset-Free Economic MPC Based on Modifier Adaptation: Investigation of Several Gradient-Estimation Techniques

Processes ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 901
Author(s):  
Marco Vaccari ◽  
Dominique Bonvin ◽  
Federico Pelagagge ◽  
Gabriele Pannocchia

Various offset-free economic model predictive control schemes that include a disturbance model and the modifier-adaptation principle have been proposed in recent years. These schemes are able to reach plant optimality asymptotically even in the presence of plant–model mismatch. All schemes are affected by a major issue that is common to all modifier-adaptation formulations, namely, plant optimality (note that convergence per se does not require perfect plant gradients) requires perfect knowledge of static plant gradients, which is a piece of information not known in most practical applications. To address this issue, we present two gradient-estimation techniques, one based on Broyden’s update and the other one on linear regression. We apply these techniques for the estimation of either the plant gradients or the modifiers directly. The resulting economic MPC schemes are tested in a simulation and compared on two benchmark examples of different complexity with respect to both convergence speed and robustness to measurement noise.

2016 ◽  
Author(s):  
Maxim Stuckert

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. ...


2017 ◽  
Vol 104 ◽  
pp. 5-14 ◽  
Author(s):  
Siyun Wang ◽  
Jodie M. Simkoff ◽  
Michael Baldea ◽  
Leo H. Chiang ◽  
Ivan Castillo ◽  
...  

Actuators ◽  
2018 ◽  
Vol 7 (3) ◽  
pp. 46 ◽  
Author(s):  
Angelo Bonfitto ◽  
Luis Miguel Castellanos Molina ◽  
Andrea Tonoli ◽  
Nicola Amati

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.


2017 ◽  
Vol 122 ◽  
pp. 985-990 ◽  
Author(s):  
Theis Heidmann Pedersen ◽  
Michael Dahl Knudsen ◽  
Rasmus Elbæk Hedegaard ◽  
Steffen Petersen

2018 ◽  
Vol 57 (10) ◽  
pp. 3732-3741 ◽  
Author(s):  
Jodie M. Simkoff ◽  
Siyun Wang ◽  
Michael Baldea ◽  
Leo H. Chiang ◽  
Ivan Castillo ◽  
...  

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