Dynamic Wind Farm Control using the WFSim flow model

Renewable energy is becoming more and more important in today's society. Wind energy plays an important role in the production of renewable energy. Due to economic advantages, wind turbines are often sited close together, creating wind farms. As a result, the wind turbines in the farm become interconnected due to the wakes of the turbines. In...

Hybrid Human in the Loop Model Predictive Control applied to Polder Management: Case study Ommoord

In the Netherlands, flood protection has always been a key issue to protect settlements against storm surges and floods. Around 60 % of the country is potentially affected by flood from the rivers and the sea. Most of the flood-susceptible areas are low-lying polders. Whereas flood protection has traditionally been focused on structural measures...

Motion Cueing Algorithm for Simulators using MPC Strategy with Workspace Management

In research, training and entertainment industries, simulators are used to replicate human perception of vehicle motion in a safe and customizable environment. The perception of self- motion of the driver inside the simulator is improved by the presence of motion cues generated by a motion system. However, direct feedthrough of these vehicle...

Transportation of Cable Suspended Load using Unmanned Aerial Vehicles: A Real-time Model Predictive Control approach

Unmanned Aerial Vehicles (UAV) have received an increasing amount of attention recently with many applications being actively investigated across the globe, and several related open research questions being actively pursued. Possible applications include search and rescue, disaster relief, environmental monitoring and surveillance,...

Real-time receding horizon trajectory generation for long heavy vehicle combinations on highways

The so-called A-double long heavy vehicle combination is a 32 meter long and up to 80 tonnes heavy double-trailer truck widely used in Canada and Australia today, and will be more abundant on the road also in Europe in the near future. They have the potential to decrease road transport cost, traffic congestion and generate lower emissions than...

Cooperative adaptive cruise control: Using information from multiple predecessors in combination with MPC

Cooperative adaptive cruise control (CACC) makes the vehicle follow its predecessor at a close but safe distance, and uses information received from other vehicles to accomplish this task. In literature and in practice, the control method mostly applied for CACC is proportional integral derivative (PID) control, possibly with some refinement for...