Publicaties
Gekozen filters:
Gekozen filters:
Model based urban traffic control, part II : coordinated model predictive controllers Universiteit Gent
The present paper describes how to use coordination between neighbouring intersections in order to improve the performance of urban traffic controllers. Both the local MPC (LMPC) introduced in the companion paper (Hao et al., 2018) and the coordinated MPC (CMPC) introduced in this paper use the urban cell transmission model (UCTM) (Hao et al., 2018) in order to predict the average delay of vehicles in the upstream links of each intersection, for ...
Flood control of rivers with Model Predictive Control -- proof of concept based on the river Demer in Belgium KU Leuven
This paper shows that Model Predictive Control (MPC) can more effectively be used for flood prevention in comparison with a three-position controller. Because MPC takes rain predictions into account, it uses the buffer capacity of the available flood basins in a more optimal way. Simulation results for historical data for the Demer, a river in Belgium with a history of large floodings, show a significant reduction of the number and the impact of ...
A Model Predictive Control Approach for Time Optimal Point-to-point Motion Control KU Leuven
This paper presents a new model predictive control method for time-optimal point-to-point motion control of mechatronic systems. The formulation of time-optimal behavior within the model predictive control framework and the structure of the underlying optimization problem are discussed and modifications are presented in order to decrease the computational load of the numerical solution method such that sampling rates in the millisecond range and ...
Effect of control horizon in model predictive control for steam/water loop in large-scale ships Universiteit Gent
This paper presents an extensive analysis of the properties of different control horizon sets in an Extended Prediction Self-Adaptive Control (EPSAC) model predictive control framework. Analysis is performed on the linear multivariable model of the steam/water loop in large-scale watercraft/ships. The results indicate that larger control horizon values lead to better loop performance, at the cost of computational complexity. Hence, it is ...
Flood control of rivers with model predictive control and moving horizon estimation KU Leuven
This paper shows that model predictive control (MPC) in combination with moving horizon estimation (MHE) can more effectively be used for flood prevention in comparison with a three-position controller (TPC). Because MPC takes rain predictions into account, it uses the buffer capacity of the available flood basins in a more optimal way. Simulation results for historical data for the Demer, a river in Belgium with a history of large floodings, ...
A geometrical interpretation of current transient responses to predict current gradients for IPMSM model predictive control Universiteit Gent
Control of a single reach with model predictive control KU Leuven
Many control strategies can be found in literature for controlling a reach. Most of these methods focus on set-point control such that the most upstream or downstream water level track a certain reference trajectory. One control strategy often applied in the literature is the Linear Quadratic Regulator (LQR). However as good as LQR is for set-point control, it cannot be used for preventing a river from flooding when large disturbances take ...
Impact of the controller model complexity on model predictive control performance for buildings KU Leuven
Model predictive control (MPC) for heating, ventilation and air conditioning (HVAC) in buildings requires accurate controller models of the building envelope and its HVAC systems. Controller models are typically obtained by means of black- or grey-box system identification or using a white-box modelling approach. However, the necessary level of model complexity used by each method in order to obtain good MPC performance remains a priori unknown ...