Direct Simulation Based Model-Predictive Control of Flow Maldistribution in Parallel Microchannels

2009 ◽  
Author(s):  
Mathieu Martin ◽  
Chris Patton ◽  
John Schmitt ◽  
Sourabh V. Apte
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Nonlinear Flow ◽  
Flow Simulations ◽  
Control Scheme ◽  
Simulation Based ◽  
Flow Through ◽  
Parallel Microchannels ◽  
Identification Techniques ◽  
Flow Maldistribution

The goal of this investigation is to develop a simulation-based control strategy to eliminate flow-maldistribution in parallel microchannels. An accurate simulation of fluid flow through parallel microchannels is achieved by utilizing a fictitious domain representation of immersed objects, such as microvalves and bubbles. System identification techniques are employed to produce a lower dimensional model that captures the essential dynamics of the full nonlinear flow, in terms of a relationship between the valve angles and the exit flow rate for each channel. The resulting linear model is incorporated into a model predictive control scheme to identify flow maldistribution from exit flow velocities and prescribe actuation of channel valves to effectively redistribute the flow. Flow simulations in a three parallel microchannel geometry including bubbles illustrates the effectiveness of the control design, which quickly and efficiently varies channel valves to remove the bubble and equalize the flow rates in each channel.

Direct Simulation Based Model-Predictive Control of Flow Maldistribution in Parallel Microchannels

2009 ◽  
Vol 131 (11) ◽  
Author(s):  
Mathieu Martin ◽  
Chris Patton ◽  
John Schmitt ◽  
Sourabh V. Apte
Keyword(s):  
Fluid Flow ◽  
Model Predictive Control ◽  
Numerical Simulations ◽  
Active Control ◽  
Predictive Control ◽  
Nonlinear Flow ◽  
Flow Simulations ◽  
Flow Through ◽  
Parallel Microchannels ◽  
Flow Maldistribution

Flow maldistribution, resulting from bubbles or other particulate matter, can lead to drastic performance degradation in devices that employ parallel microchannels for heat transfer. In this work, direct numerical simulations of fluid flow through a prescribed parallel microchannel geometry are performed and coupled with active control of actuated microvalves to effectively identify and reduce flow maldistribution. Accurate simulation of fluid flow through a set of three parallel microchannels is achieved utilizing a fictitious-domain representation of immersed objects such as microvalves and artificially introduced bubbles. Flow simulations are validated against experimental results obtained for flow through a single high-aspect ratio microchannel, flow around an oscillating cylinder, and flow with a bubble rising in an inclined channel. Results of these simulations compare very well to those obtained experimentally, and validate the use of the solver for the parallel microchannel configuration of this study. System identification techniques are employed on numerical simulations of fluid flow through the geometry to produce a lower dimensional model that captures the essential dynamics of the full nonlinear flow, in terms of a relationship between valve angles and the exit flow rate for each channel. A model-predictive controller is developed, which employs this reduced order model to identify flow maldistribution from exit flow velocities and to prescribe actuation of channel valves to effectively redistribute the flow. Flow simulations with active control are subsequently conducted with artificially introduced bubbles. The model-predictive control methodology is shown to adequately reduce flow maldistribution by quickly varying channel valves to remove bubbles and to equalize flow rates in each channel.

scholarly journals Simulation-based Short-term Model Predictive Control for HVAC Systems of Residential Houses

2019 ◽  
Vol 35 (1) ◽  
Author(s):  
Sơn Hoài Nguyễn ◽  
Yasuo Tan
Keyword(s):  
Energy Consumption ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Room Temperature ◽  
Hvac Systems ◽  
Control Methods ◽  
Short Term ◽  
Control Scheme ◽  
Simulation Based ◽  
Precise Prediction

In this paper, we propose a simple model predictive control (MPC) scheme for Heating, ventilation, and air conditioning (HVAC) systems in residential houses. Our control scheme utilizes fitted thermal simulation to achieve precise prediction of room temperature and energy consumption in each prediction period. The set points of HVAC systems are selected to minimize the amount of energy consumption while maintaining room temperature within a desirable range to satisfy user comfort. Our control system is simple enough to implement in residential houses and is more efficient comparing with rule-based control methods.

scholarly journals A nonlinear tracking model predictive control scheme for dynamic target signals

Automatica ◽  
2020 ◽  
Vol 118 ◽  
pp. 109030 ◽  
Author(s):  
Johannes Köhler ◽  
Matthias A. Müller ◽  
Frank Allgöwer
Keyword(s):  
Model Predictive Control ◽  
Predictive Control ◽  
Control Scheme ◽  
Nonlinear Tracking ◽  
Tracking Model ◽  
Dynamic Target

Feasible-Cooperation Distributed Model Predictive Control Scheme Based on Game Theory*

2011 ◽  
Vol 44 (1) ◽  
pp. 386-391 ◽  
Author(s):  
Felipe Valencia ◽  
Jairo J. Espinosa ◽  
Bart De Schutter ◽  
Kateřina Staňková
Keyword(s):  
Game Theory ◽  
Model Predictive Control ◽  
Predictive Control ◽  
Distributed Model ◽  
Distributed Model Predictive Control ◽  
Control Scheme
Sign in / Sign up

Export Citation Format

Share Document