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Control Engineering - Automation - Instrumentation Engineering 30 credits

Published: 16 April 2021

The course contains five sub-courses; mathematics, physics, control technology, automation and instrument technology.

Course 1: Mathematics

After this course, the student has acquired the mathematical knowledge required to be able to assimilate subsequent courses in physics, control technology, automation, and instrument technology.

Course content
Introduction: Elementary trigonometry, algebra, systems of equations, logarithms.

Arithmetic, algebra and geometry: absolute amounts, polynomials and rational expressions as well as generalization of the laws of arithmetic for handling these concepts. Properties of the equation of the circle and the unit circle to define trigonometric concepts.

Relationship and change: Orientation about continuous and discreet function and the concept of limit value. Properties of polynomial functions of a higher degree. The terms secant, key, change ratio and derivatives for a function. Derivation and use of derivation rules for power and exponential functions as well as sums of functions. Introduction of the number e and its properties. Algebraic and graphical methods for determining the value of derivatives for a function. Relationship between a function's graph and the function's first and second derivatives. The concepts of primitive function and definite integral as well as the relationship between integral and derivative. Determination of simple integrals in applications that are relevant to subsequent courses.

Course 2: Physics

After this course, the student has acquired the physics knowledge required to be able to assimilate subsequent courses in control technology, automation, and instrument technology. The course is based on LTU's courses Physics G1 and Physics G2 which are given for the technical base year.

Course content
From Physics G1:

  1. Introduction (5%): Physical quantities, concepts, models, measurements and measured values.
  2. Mechanics (25%): Newton's laws, density and pressure, energy and work, effect.
  3. Thermodynamics (20%): The main theorems of thermodynamics, phases and phase transitions, temperature and heating, efficiency in energy conversion, heat transport.
  4. Electrical engineering (20%): Repetition and basic electrical engineering, field strength, potential, measurement, electrical energy and electrical circuits. Kirchoff's Laws.

From Physics G2:

  1. Electromagnetic induction (30%): magnetic field and magnetic flux, Hall effect, mass spectrometry, Lenz law, eddy currents, self-induction and inductance, capacitor.

Course 3: Control Engineering 6 credits

After the course the student should be able to:

  • Explain the function and limitations of the classic PID controller
  • Classify industrial processes into some common types and model them based on measurement data
  • Apply some methods for regulator trimming based on a process model
  • Assess control performance based on measurement data and use this for controller trimming
  • Describe the purpose and give examples of areas of use for some common regulator structures
  • Perform troubleshooting on a control circuit and find faults in actuators, poor tuning, etc.

Course content
PID controller: Definition, function, constraints
Processes: KLT processes, integrating processes, downtime processes
Process modeling: Step response modeling, frequency modeling
Regulator tuning: Lambda tuning, jail time tuning, circuit shaping
Control performance: Speed, noise sensitivity
Regulator structures: Feedforward, cascade control, quota control, etc
Practical aspects, troubleshooting

Course 4: Industrial Automation 6 credits

After the course the student should be able to:

  • Understand fundamental principles and functionality of basic elements of automation systems
  • Analyze a real problem from an automation perspective and thus be able to assess both engineering and financial aspects
  • Identify and select sensors and actuators to create and integrate industrial automation solutions
  • Create and integrate a classic relay-based automation system
  • Have basic knowledge of industrial networks

Course content

Introduction: Basic elements in automation systems, automation levels, process industry, continuous and discreet regulation, computer-based regulation
Hardware components: Sensors, actuators, relays
Synthesis of industrial automation systems: The latch principle, examples, applications
Industrial networks: Properties
Industrial PID control: Autotuning, PLCs
After this course, the student has acquired the physics knowledge required to be able to assimilate subsequent courses in control technology, automation, and instrument technology.The course is based on LTU's courses Physics G1 and Physics G2 which are given for the technical base year.

Course 5: Measurement Technology 6 credits

After the course, the student must have a basic understanding of the principles commonly used in industry for sensors and measuring systems. The student must also be able to use these sensor principles for collecting measurement data, and have an understanding of how these are affected by external disturbances.

Course content
Sensors for pressure (resistive, capacitive), weight, gas and liquid flow (ultrasound, resistive, optical), material flow (weight + speed, optical), level / distance (laser, radar, ultrasound), and temperature (resistive, thermoelectric) .

Principles for collecting measurement data; amplifiers: differential amplifiers, operational amplifiers, filters, bandwidths.
Conversion analog - digital; principle and use in microprocessor systems.
External influence of measuring systems; EMC and other disturbances.

Other information

Access to a computer / PC with an Internet connection is a prerequisite for participants to be able to take part in web-based lectures and digital training material.

Course literature for each course module is presented in connection with the start of the course. The costs for course literature are not included in the commissioned training.

Andreas Johansson

Andreas Johansson, Professor

Phone: +46 (0)920 492334
Organisation: Control Engineering, Signals and Systems, Department of Computer Science, Electrical and Space Engineering