Detail of the student project

Topic:Design of MPC Controller using OnRAMP Design Suite
Supervisor:Ondřej Šantin
Announce as:PTO
Description:Model Predictive Control (MPC) is an advanced multivariable control method which penetrated the industry in last two decades. The main advantage of MPC is that it simplifies the controller calibration time compared to the traditional control methods. It can also naturally handle the constraints on all variables in the control loop.

The aim of the proposed project is to use existing commercially available tool Honeywell OnRAMP Design Suite to implement MPC controller for selected multivariable nonlinear plant and document achieved results. The plan will be decided on the 1st team meeting.
Max.number of students:4

Warning: the registration to the PTO can be canceled only by supervisor.
Responsible person: Petr Pošík