Course - Control Systems - TTK4105
Control Systems
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About the course
Course content
Basic introduction to cybernetics and control engineering. Introduction to methods and tools that provide a cybernetic perspective on the world, i.e. that one can change the behavior of dynamic systems through the use of controllers and achieve what we call circular causality, which means that a system influences itself to achieve a desired behavior. Understanding of modeling of dynamic systems and related phenomena, simulation of dynamics, control of dynamic systems, estimation for dynamic systems, as well as evaluation of performance. Understanding of the structure and implementation of a control system.
Learning outcome
Knowledge:
- Definition and use of key cybernetic concepts.
- Basic history within cybernetics and control technology.
- General structure of a control system.
- Modeling of dynamic systems with emphasis on linear differential equations.
- Stability, dynamic phenomena, time response and frequency response for dynamic systems.
- Control through feedforward and feedback.
- Feedback with emphasis on PID control.
- Estimation using state estimators and observers.
- Nonlinearities in a control system.
- Evaluating performance using performance metrics.
- Simulation of dynamic systems using numerical solvers.
- Basic knowledge of instrumentation and measurement techniques, embedded computer systems, experimental planning and multivariate data analysis.
- Holistic systems thinking.
Skills:
- Understand the structure and implementation of a control system.
- Model, simulate and analyze simple dynamic systems.
- Design, implementation and tuning of controllers.
- Application of holistic systems thinking to all types of phenomena.
- Basis for advanced courses in cybernetics.
General competence:
- Fundamental understanding of cybernetic systems.
- Communicate about cybernetic concepts with the public.
- Communicate and collaborate on professionally with cyberneticians.
Learning methods and activities
Lectures, self-study and exercises.
Compulsory assignments
- Exercises
Further on evaluation
Digital exam. If there is a re-sit examination, the examination form may change from digital to oral.
Recommended previous knowledge
Basic engineering mathematics.
Course materials
Stated at the start of the course.
Credit reductions
| Course code | Reduction | From |
|---|---|---|
| SIE3005 | 7.5 sp | |
| TTK4225 | 7.5 sp | Autumn 2019 |
| TTK4230 | 7.5 sp | Autumn 2019 |
| TTK4111 | 7.5 sp | Autumn 2023 |
Other pages about the course
Subject areas
- Refrigeration and Air Conditioning - Multiphase Flow
- Industrial Process Technology
- Marine Cybernetics
- Manufacturing Systems
- Electronics
- Energy and Process Engineering
- Refrigeration Engineering
- Reactor Technology
- Electrical Power Engineering
- Industrial Economics
- Refrigeration and Air Conditioning - Refrigeration Plants and Heat Pumps
- Production and Quality Engineering - Information Technology
- Reservoir Simulation
- Internal Combustion Engines
- Process Automation
- Hydro and Gas Dynamics
- Petroleum Engineering
- Process Control
- Chemical Engineering/Process Control
- Petroleum Production
- Thermal Energy and Hydropower
- Industrial Chemistry
- Engineering Cybernetics
- Applied Mechanics, Thermo- and Fluid Dynamics - Heat and Combustion Engineering
- Chemical Engineering
- Electrical Power Engineering
- Physics
- Marine Topics
- Technological subjects