ELE302 Control Systems Engineering 2

Contents and structure

The course covers basic principles of modeling, simulation, analysis and design of modern Multiple Input- Multiple Output (MIMO) control systems by using techniques base on state-space (SS) and discrete, sampled systems. MIMO concepts and definitions can however be explained and illustrated by using Single Input-Single Output (SISO) systems to ease understanding. Both Linear-Time-Invariant (LTI)- and nonlinear systems will be studied.

The course addresses themes in electro technology, mechanics, fluid mechanics, and electromagnetism from classical physics together with calculus, linear systems and stability from mathematics so that to form a scientific foundation for working with advanced, dynamical, sampled/discrete automatic systems in technological courses.

The course includes teaching sessions, problem solving seminars, and practical laboratory exercises.

PC together with technical based and simulation software like Matlab for both control, processing, storing and presentation of data, are important tools in the course.

Control Systems Engineering 1 provides an introduction in the following concepts and themes:

• Dynamical modeling of physical MIMO basic systems like electrical, mechanical and electromechanical, from physical principles.
• Mathematical modeling of LTI systems through differential equations in SS, based on linear and vector algebra.
• Block diagrams or signal-flow graphs-based modeling in SS of more complex systems by using canonical SS-models.
• Frequency analysis by using Nyquist diagram in addition to Bode diagram.
• Stability analysis in SS.
• Steady-state error in SS.
• Controller design techniques in SS through pol placement for controller and observer design, diagonalization.
• Sampled systems using z-transform control techniques for sampled systems in SS and optimization by using Model Predictive Control (MPC).

Learning Outcome

Knowledge

After completing the course, the candidate has knowledge of

• modeling, analysis and design of Multi-Input-Multi-Output (MIMO) dynamic processes based on state Space modeling both in continuous and discrete time domain and frequency domain.
• modern techniques for evaluation of system performance and optimization of control systems. Further, an introduction to some of more Advanced control techniques that have gain success such as Model Predictive Control (MPC) is made.
• how the process model and requirements such as error, frequency and time properties, and the performance of the system are Applied in the design and simulation of modern control systems.

Skills

After completing the course, the candidate can

• apply modern modelling in state-space to MIMO processes and to analysis and design of MIMO control systems.
• estimate process parameters and performance both from theory, simulations and experiment and apply these to the design of MIMO Control systems.
• implement, take measurements, evaluate experimental data in standard laboratory environment and compare these data with data from design and simulations.

Competence

• The candidate can solve specific problems in automation by using methods from modern MIMO control systems.
• The candidate understands the automation engineer's role in the interaction between the technological development and the actual needs in society.

Entry requirements

None 

Recommended previous knowledge

Basic Control System Engineering

Teaching methods

Lectures, laboratory work, exercises by using PC and technical-based software.

Compulsory learning activities

3 compulsory assignments, three laboratory exercises with mandatory attendance. Accepted mandatory assignments are valid within the whole study period.

Assessment

4 hours written exam. The grading scale used is A to F. Grade A is the highest passing grade in the grading scale, grade F is a fail.

Examination support material

TTextbooks, teaching notes and videos, own written notes with formulae (tied up) but no loose sheets of paper. All kinds of calculator. PC, iPad, tablet computer with the use of all teaching-based software except all types of communication software.

More about examination support material

Course reductions

• ELE302D - Reguleringsteknikk 2 - Reduction: 10 studypoints
• ELE106 - Reguleringsteknikk 2 - Reduction: 8 studypoints
• ING3056 - Reguleringsteknikk - Reduction: 5 studypoints
• EL2-201 - Reguleringsteknikk - Reduction: 5 studypoints