Students are able to model and analyse dynamical systems from an energy-based perspective with the aid of Laplace transformation and block diagrams; characterise, analyse and implement feedback control (PID) in the digital domain.|
In the course Modelling & Control, students will learn basic techniques to control/move/ interact with something physical (a mechanical system) with an electrical system. This will provide you with the tools to add an extra dimension to your creations - interaction with the physical world. The course has both a strong theoretical part as a significant practical part in the form of 2 elaborate lab sessions in which you will apply the theory. In this course, you will learn the basics of model-based control engineering. The first half of the course will be on modeling and the second half on control.|
This is the Modelling and Control part of module 2020000979 / 202000980 - Smart Technology (B-CREA) with course code 202001498 for pre-master students.
If you want to enroll, please contact K. Zalewska (firstname.lastname@example.org).
• Mathematical skills: see the prerequisites for the Systems & Signals course, especially proper understanding of and ability to apply the concepts of differentiating and integrating.
• Intro to Physical Systems in module 3. Key points from that course are: System, system boundaries, physical domains; Energy and power; Energy storage, Energy dissipation and system states; Basic modelling skills in electrical and mechanical domain (sources, C-type elements, I-type elements, R-type elements); structures in Electrical domain (Kirchhoffs law) and mechanical domain ('d Lambert law) for analysis and modeling of networks in electrical and mechanical domains; Analogies between electrical, mechanical and hydraulic domain; 1st and 2nd order systems. This prior knowledge can be acquired via the study of chapters 1-4 and 7 of the book: “Dynamical Systems for Creative Technology” by Job van Amerongen, 3rd edition, Enschede, 2012.
Note that this course has strong ties with other courses in the modules such as Systems & Signals and Circuits & Electronics. A good understanding of fundamentals taught in those courses is relevant. Examples for Circuits & Electronics are: step responses in 2nd order electrical circuits and 2nd order filters (incl. their analysis in the frequency domain using Bode plots), analysis and/or synthesis of basic amplifier or active filter configurations using Opamps. Examples for Systems & Signals are: solving 1st and 2nd order, linear differential equations, complex number theory, Laplace and inverse Laplace transformation, analysis in the frequency domain (either via Bode plots (jw - domain) or via the s-domain).