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During 2021 we will continue to support students who need to study remotely due to the ongoing impacts of COVID-19 and travel restrictions. Make sure you check the location code when selecting a unit outline or choosing your units of study in Sydney Student. Find out more about what these codes mean. Both remote and on-campus locations have the same learning activities and assessments, however teaching staff may vary. More information about face-to-face teaching and assessment arrangements for each unit will be provided on Canvas.
Unit of study_
AMME3500: System Dynamics and Control
This unit of study aims to allow students to develop an understanding of methods for modeling and controlling linear, time-invariant systems. Techniques examined will include the use of differential equations and frequency domain approaches to modeling of systems. This will allow students to examine the response of a system to changing inputs and to examine the influence of external stimuli such as disturbances on system behaviour. Students will also gain an understanding of how the responses of these mechanical systems can be altered to meet desired specifications and why this is important in many engineering problem domains. The study of control systems engineering is of fundamental importance to most engineering disciplines, including Mechanical, Mechatronic, Biomedical, and Aerospace Engineering. Control systems are found in a broad range of applications within these disciplines, from aircraft and spacecraft to robots, automobiles, manufacturing processes, and medical diagnostic systems. The concepts taught in this course introduce students to the mathematical foundations behind the modelling and control of linear, time-invariant dynamic systems. In particular, topics addressed in this course will include: 1. Techniques for modelling mechanical systems and understanding their response to control inputs and disturbances. This will include the derivation of differential equations and use of frequency domain (Laplace transform) methods for their solution and analysis. 2. Representation of systems in a feedback control system as well as techniques for determining what desired system performance specifications are achievable, practical and important when the system is under control 3. Techniques including Root Locus, Bode Plots, and State Space for analysis and design of feedback control systems. 4. Case studies inspired by real-world problems in control engineering.
| Code | AMME3500 |
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| Academic unit | Aerospace, Mechanical and Mechatronic |
| Credit points | 6 |
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Prerequisites:
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AMME2500 |
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Corequisites:
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None |
| Prohibitions:
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None |
At the completion of this unit, you should be able to:
- LO1. mathematically model mechanical and other systems and determine their response characteristics based on the physical properties of the system and Laplace transform methods
- LO2. understand how desired specifications of a mechanical system such as stability, overshoot, rise time, the time constant of a system, natural frequency and damping ratio can be represented mathematically and how they depend on system parameters
- LO3. demonstrate an ability to design controllers and meet specifications using tools such as Root Locus, Bode Plots, and State Space. Understand the relative strengths and weaknesses of each technique
- LO4. understand the role of feedback in providing robustness to modelling uncertainty and external disturbances
- LO5. analyse and design control loops using Matlab and Simulink software tools.
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