SYDE 351 - Systems Models I
Stephen Birkett


SYDE 114
Systems Models I
Topics & Problems
Applied Linear Algebra
Musical Instruments

Marcia Hadjimarkos


Stephen Birkett

Teaching Assistants:
Matt Borland Lei Wang

The main objective of this course is to learn how to construct and analyse mathematical models of multi-domain dynamic discrete component physical systems. You will also learn systematic methods for equation formulation, and solution techniques which will be implemented using matlab and other computer software.

Course Listserv:
I tried UW Learn and found it cumbersome for simple multi-party communication, so I've returned to using a basic listserv for discussion and communication. You are strongly encouraged to join the group (even if you hate yahoo), which will be used for all official administrative communication, discussion, announcements, project information, exam hints, and so on. Membership is restricted to keep out spammers. An invite to join will be sent from yahoo to everyone registered in the course at the beginning of term.

DC Karnopp, DL Margolis & RC Rosenberg, System Dynamics: Modeling and Simulation of Mechatronic Systems, Wiley, 2006 OR 2012 (either edition is ok) This is the course textbook. Exercises will be taken from it. There will also be supplementary material covered in the lectures but NOT in the textbook.

Access to Matlab software is essential.

Outline: You will learn how to construct simulation models for discrete dynamic multi-domain physical systems. Physical domains include electrical, mechanical, hydraulic (acoustic), and thermal. The text focuses on the use of bondgraphs; this approach will be supplemented from time to time with extra material on linear graph models, which are technically equivalent (although there are some practical differences in implementation). We will cover the following topics: 1-Systems thinking, design methodology and modelling. 2-Multi-ports and bondgraphs. 3-Basic component models. 4-Single and multi-domain system models. 5-State-space formulation. 6-Numercal simulation. This material covers most of chapters 1-5, and 13 in the textbook. Additional material may be selected from other chapters.

Grading Scheme:
Midterm (25%) + Project (25%) + Final exam (50%) Weighting may be adjusted later at my discretion.

Suggested problems will be listed on the topics webpage. You can get help with these in the tutorials, from TAs, or from me. The first line for efficient communication is email, and especially the course listserv which is a great resource for communal discussion. You can hand your work in at any time to a TA to get feedback.

3:30-5:20pm, Thursday 20 June: DC-1350

The project is an important component of this course (I think it is actually the most important part). A physical system will be selected meeting characteristics (rules) to be given by me. Working in groups of FIVE, you are to: (i) build a benchtop prototype of the system; (ii) develop a mathematical model of the system; (iii) simulate the system behaviour and compare to the results of physical testing in order to validate your model; (iv) prepare a report. You will be expected to keep individual log books to document your personal involvement. Further details on the project will be provided as soon as possible. Show and Tell: date to be announced.

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©2013 Stephen Birkett