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Model Predictive Control of a Fed-batch Bioreactor Based on Dynamic Metabolic-Genetic Network Models KU Leuven
© 2018 In this work, a model predictive control of a fed-batch bioreactor is presented, described by the dynamic enzyme-cost FBA model (deFBA). The deFBA model is employed within a bilevel optimization to obtain fed-batch operating policies including the substrate feeding and process-level regulation of metabolism for optimizing the productivity of a target product. The advantages of implementing the closed-loop control in order to compensate ...
MODEL PREDICTIVE CONTROL OF SECONDARY COOLING MODES IN CONTINUOUS CASTING KU Leuven
© 2013 TANGER Ltd., Ostrava. The automatic control system of the continuous casting should help to more accurately maintain the prescribed temperature regime and thus produce a higher-quality of continuous-cast semifinished product. The paper is devoted to problems of development of the model predictive control (MPC) algorithms of the secondary cooling modes. Since the thermal physical parameters depend on the temperature of the cast metal and ...
Dynamic Mode Decomposition for nonintrusive and robust Model Predictive Control of residential heating systems KU Leuven
Obtaining accurate models for heating and building systems is crucial for prediction and control in the context of energy effciency and demand response. Models should be both computationally and data-effcient, as well as easy to implement. This paper therefore introduces a methodology for data-driven modeling and control of residential heating systems and buildings. Dynamic mode decomposition is used to fit a linear state-space model of the ...
Model Predictive and Sliding Mode Control of a Boost Converter KU Leuven Universiteit Gent
This paper presents a comparative study between two control strategies based on the sliding mode control theory applied to a switched DC-DC Boost converter. A master-slave control structure is applied to the converter such that the inner control loop is a sliding mode current controller and the outer voltage controller is designed according to what follows. First a Proportional-Integral compensator (PI) is proposed and second, a Model Predictive ...
Adaptive discrete sliding-mode predictive control of networked multi-agent control system based on the incremental model Universiteit Gent
Sliding mode predictive control ( SMPC) is a control method that combines sliding mode control (SMC) and mode predictive control (MPC). It has broad application prospects in networked multi-agent control system (NMACS) due to its strong robustness, good response speed, and anti-interference ability. Discrete sliding mode variable structure control based on discrete systems has the advantages of SMPC, but due to the influence of discrete reaching ...
Automated Highway Lane Changes of Long Vehicle Combinations: A Specific Comparison Between Driver Model Based Control and Non-linear Model Predictive Control KU Leuven
This paper compares the vehicle dynamics performances of two approaches for automated lane change manoeuvres of a long vehicle combination in simulated highway driving. One of the two approaches is a non-linear model predictive controller (NMPC), and the other is based on driver model control (DMC) theory. Both approaches utilize traffic situation predictions that include motion variable constraints and actuation requests for steering, ...
Automated Highway Lane Changes of Long Vehicle Combinations: A Specific Comparison Between Driver Model Based Control and Non-linear Model Predictive Control KU Leuven
This paper compares the vehicle dynamics performances of two approaches for automated lane change manoeuvres of a long vehicle combination in simulated highway driving. One of the two approaches is a non-linear model predictive controller (NMPC), and the other is based on driver model control (DMC) theory. Both approaches utilize traffic situation predictions that include motion variable constraints and actuation requests for steering, ...
Closed-loop control of anesthesia and hemodynamic system : a model predictive control approach Universiteit Gent
Coordinated voltage control via distributed model predictive control Universiteit Gent
Over the past decades many voltage collapse incidents have occurred, caused by uncoordinated interactions of local controllers, following a major disturbance in electric power system operating closer and closer to their safety limits. Currently most voltage control schemes are rule-based and only rely on local measurements. However the availability of wide-area phasor measurements (WAMS/PMU) suggests that the risk of voltage collapse could be ...