- Code ENGN3223
- Unit Value 6 units
- Offered by Research School of Engineering
- ANU College ANU College of Engineering and Computer Science
- Course subject Engineering
- Areas of interest Engineering
- Academic career UGRD
- Prof Matthew James
- Mode of delivery In Person
Second Semester 2014
See Future Offerings
Introduction to control system analysis, identification, design and implementation. Laboratory work involves real-time identification and control of a range of electrical and electromechanical systems. Topics covered include:
- History of Control.
- Representation of linear dynamics and properties of systems.
- Time domain specifications of performance.
- Discrete-time systems and the Z-transform.
- Closed loop and open loop control. Classical PID controllers.
- Steady state errors and system type. Stability and robustness.
- Discrete-time systems and design by emulation.
- Root locus analysis and design of continuous and discrete systems.
- Frequency response of continuous and discrete time systems.
- Nyquist plots and stability margins.
- Lead-Lag control design.
- Sensitivity and robustness in the frequency domain.
- Practical design issues approaches.
Upon successful completion, students will have the knowledge and skills to:
Upon completion of this course, students will have the knowledge and skills to
- Understand the properties of feedback and feed-forward control architecture and specify control architecture for a real world problem.
- Understand and compute sensitivity and complimentary sensitivity for a feedback system.
- Compute gain and phase margins, and understand implications for control, calculate the Nyquist conditions for a linear system and understand its implications in terms of robust stability margins, compute band-pass for a linear system and understand its significance in control design.
- Design Lead-Lag compensators based on frequency data for an open-loop linear system.
- Understand the state-space paradigm and models, and how to design state feedback controllers to achieve pole-placement.
- Understand the basic structure of a sampled-data system, including a comprehension of issues such as Nyquist sampling theorem and aliasing as well as structure of Z-transform transfer functions and issues associated with inter-sample ripple, compute discrete-time equivalents of continuous-time plants using zero-order hold, trapezoid integration and pole matching techniques.
- Understand the importance of performance, robustness and stability in control design.
- Have a strong intuitive understanding of the link between the ODE representation, the s-domain representation and physical characteristics of the time response of an LTI SISO system.
- Identify simple systems and dominant response characteristics from time domain step-response data.
- Work confidently with block diagram representations of control systems.
- Design PID controllers based on empirical tuning rules.
- Understand system type and steady state tracking error analysis.
- Compute stability of linear systems using the Routh array test and use this to generate control design constraints.
- Sketch Evan's root locus diagrams by hand. Use Evan's root locus techniques is control design for real world systems.
Problem Sheets (20%); Laboratories (25%); Tutorial attendance (5%); Final Exam (50%)
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36 hours across the semester: 1 x two hour tutorial/week and 1 x two hour lab/week (every second week).
Requisite and Incompatibility
- Franklin, G.F.et al Feedback Control of Dynamic Systems , 6th Edition, Prentice Hall, 2006
Alternatives to the main text are:
- Ogata, Modern Control Engineering , Prentice-Hall
- Franklin, Powell, Digital control systems
- Goodwin, Graebe, Salgado, Control system design
Tuition fees are for the academic year indicated at the top of the page.
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- Student Contribution Band:
- Unit value:
- 6 units
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- Domestic fee paying students
- International fee paying students
Offerings and Dates
|Class number||Class start date||Last day to enrol||Census date||Class end date||Mode Of Delivery||Class Summary|
|7449||21 Jul 2014||01 Aug 2014||31 Aug 2014||30 Oct 2014||In Person||N/A|