Course content

The subject will provide an introduction and overview of control systems and their design as a discipline. Dynamic positioning for ships will be used as a case throughout the subject and lay the foundation for the project assignment. The project assignment must be demonstrated in the lab on a model vessel.

• Methods for system modeling.
• Methods of system identification.Control design methods; PID, LQR, MPC, etc.
• Methods of estimator design; Kalman filter, Luenberger observers, etc.
• Implementation of control algorithms in microcontrollers.Tuning, maintenance and practical use of control systems.

Learning outcome

Knowledge:

The candidate:

• Has knowledge of modern and classic control algorithms and design principles.
• Has knowledge of which method should be used for which purpose.
• Has knowledge of how a control system should be implemented in microcontrollers.
• Has knowledge of tuning and interaction with control systems.
• Knows aspects of the development of control systems.

Skills:

The candidate:

• Can model a physical system for control.
• Can design a control system into a system model based on a control objective.
• Understands the strengths and weaknesses of different algorithms.
• Can implement and tune the most common control algorithms.General competence

The candidate:

• Has insight into control design and knows the different aspects of the field.
• Knows the general feedback control model.
• Can program a control algorithm in a control system.
• Can make a control algorithm interact with sensors and actuators.

Learning methods and activities

Pedagogical methods:

• Theme lectures on related topics.
• Exercises individually or in groups.
• Group work with a development task under supervision.

Compulsory activities

• Mandatory work requirements.
• Projects in groups
• Oral presentation

Specific conditions

Course materials

Lecture notes and powerpoint presentations.