Examination arrangement

Course content

The course contains a selection of the following topics, with an emphasis on automation and practical use of digital tools and lab work:

• Techniques for analysis of electrical circuits (e.g., mesh analysis, nodal analysis, superposition)
• Fundamental electrical, mechanical, and electromechanical components and circuits within automation (e.g., RLC circuits, ac circuits, op-amps, instrumentation amplifier, H-bridge, galvanic separators, transistors)
• Circuits and systems analysis (e.g., differential equations, transfer functions, Bode plot, Nyquist plot)
• Introduction to electrical power systems engineering, including power generation and power supply, transformers, active and reactive effect, phase, dimensioning of cables, and simple loss calculations
• Earthing, earthing philosophy, noise, kinds of noise, routing, and noise reduction
• Electrical motors (ac, dc) with digital control, e.g., stepper motors and speed control of dc motors
• Introduction to frequency-dependent circuits, active and passive filters
• Measurements and error detection
• Simulation and digital tools for industrial electrical engineering with application towards automation
• Lab work for industrial electrical engineering with application towards automation, including procedures, standard equipment, and instrumentation
• Possibly other topics

Learning outcome

Knowledge

• The candidate can describe common electrical, mechanical, and electromechanical components
• The candidate can describe central elements of electrical power systems engineering, e.g., power generation and power supply, transformers, active and reactive effect, phase, dimensioning of cables, and simple loss calculations
• The candidate can describe principles for earthing, earthing philosophy, screening, noise, types of noise, routing, and noise reduction
• The candidate can list and compare properties of various kinds of dc and ac motors (e.g., stepper motor) and explain the principles of digital control.
• The candidate can explain principles and application areas for frequency-dependent circuits and active and passive filters
• The candidate can demonstrate understanding of why the course topics are relevant within automation engineering

Skills

• The candidate can perform fundamental circuit analysis and system modelling using differential equations, Laplace-transformed variables, and transfer functions
• The candidate can perform stationary analysis of ac circuits and systems with sinusoidal input, and identify simple system models and system parameters in the frequency domain
• The candidate can perform simple dynamical analyses of RLC and dc circuits and systems in the time domain, and identify simple system models and parameters
• The candidate masters basic design of digital control systems for electrical motors through simple lab setups and use of standard equipment
• The candidate can perform measurements and error detection of simple circuits, construct electro-documentation using reports and measurement protocols, as well as constructing schematics using digital tools
• The candidate can simulate simple electrical engineering systems and compare simulated characteristics with theoretical characteristics and physically measured characteristics

General competence

• The candidate can explain the connection between mathematical models, numerical simulations, and physical systems
• The candidate can obtain and use data sheets, technical reports, support literature, and other documentation in the line of work
• The candidate can ensure that occupational health regulations are adhered to during lab work

Learning methods and activities

Learning activities generally include a mix of lectures, tutorials and practical lab/project work. A constructivist approach for learning is endorsed, with focus on problem solving and practical application of theory.

Note that this course will be bidirectionally supported by project work in AIS1104 Automation and Mechatronics with Project that runs in parallel.

Further on evaluation

The final grade is based on an overall evaluation of the portfolio, which consists of a number of works delivered through the semester. The portfolio contains assignments that are carried out, digitally documented and submitted during the term. Both individual and team assignments may be given. Assignments are designed to help students achieve specific course learning outcomes, and formative feedback is given during the period of the portfolio. If the grade for the portfolio is set to F (fail), there is no re-sit exam, and the course must be re-taken.

Specific conditions

Recommended previous knowledge

• AIS1104 Automatisering og mekatronikk med prosjekt (del 1 av 2)
• Matematiske metoder 1

Required previous knowledge

The course has no prerequisites.

It is a requirement that students are enrolled in the study programme to which the course belongs.

Course materials

An updated course overview, including curriculum, is presented at the start of the semester and will typically also include English material.

Credit reductions