Course Name(s): Bachelor of Enginnering - Diploma of Engineering Practice
Stage: 6
Credit Points: 6 (6 semester hours)
Prerequisite Subjects: 48540 Signals and Systems
Co-requisite Subjects: None
Subject Co-ordinator: Prof H T Nguyen
Objectives:
The primary objective of this subject is to allow the student to acquire the ability to model, verify, analyse, design, and implement both analogue and digital controllers to conform with given specifications. To this end, the emphasis is placed on the laboratory work, the theoretical content of the subject being only that required to produce successful designs.
Content and Method:
The course consists of 13 teaching sessions in the form of a lecture followed by a tutorial, and 13 laboratory sessions. The lectures revise the analytical aspects of control systems and extend to provide the background and practice in the design of both analogue and digital controllers. There are four major sections in this subject. They are system modelling and verification, analogue controller design, digital controller design, and non-linear system analysis and design. The system modelling section covers Lagrange equations of motion and Ziegler-Nichols techniques.The analogue controller design section includes phase lead-lag compensators, PID controllers, pseudo-derivative-feedback (PDF) controllers, and state-variable feedback controllers. The digital controller design section includes s-plane design and discretisation, z-plane design using discrete root-locus, w-plane design using bilinear transformation, and discrete state-variable feedback controller/observer design. Non-linear system analysis and design covers the describing function and limit cycle, state-plane analysis, and nonlinear design using describing function. For laboratory work, students work on reduced scale models of actual industrial processes. The equipment is based upon experience gained with authentic control applications and is suitably modified for student use. Students follow the usual sequence adopted in industry i.e. they start with the calibration of transducers and actuators leading on to dynamic response testing, model verification and finally to controller design, implementation, and testing. Typical projects include an overhead crane system, a ball and beam system, a ball and hoop system, a coupled-tanks system, a static VAR system, and a steam engine system. Two seminars detailing progress to date are given to students at judicious times during the semester.
Assessment:
Assignments (4) 25% As1 (5%), As2 (7.5%), As3 (7.5%), As4 (5%)
Final Exam 25%
Open Book Laboratory Work 50% Sem1 (5%), Sem2 (5%), Demo (10%), Report (30%)
Text:
Nguyen HT Analogue and Digital Control, UTS, 1998
Phillips CL Feedback Control Systems, Prentice-Hall, 1995
Ogata K Discrete-Time Control Systems, Prentice-Hall, 1994
References:
Ogata K Modern Control Engineering, Prentice-Hall, 1997
MacFarlane A Dynamical System Models, Harrap, 1970
Franklin GF Feedback Control of Dynamic Systems, Addison Wesley, 1991
Franklin GF Digital Control of Dynamic Systems, Addison Wesley, 1990
Nise NS Control Systems Engineering, Benjamin/Cummings, 1992
Shinners SM Modern Control System Theory and Design, John Wiley, 1992
Phillips CL Digital Control System - Analysis and Design, Prentice-Hall, 1990
Van de Vegte J Feedback Control Systems, Prentice-Hall, 1994
Astrom KJ Computer Controlled Systems, Prentice-Hall, 1997
D'Azzo J J Linear Control System - Analysis and Design, McGraw-Hill , 1988
Kuo BC Automatic Control Systems, Prentice-Hall, 1987
Kuo BC Digital Control Systems, Prentice-Hall, 1992
Chen C-T Analogue and Digital Control System Design, Saunders College, 1993
Leigh JR Applied Digital Control, Prentice-Hall, 1985
Furuta K State Variable Methods in Automatic Control, John Wiley, 1988
Palm WJ Control Systems Engineering, John Wiley, 1986
Course Name: Graduate School Programme
Teaching School: Electrical Engineering
Credit Points: 6 (3 semester hours)
Pre-requisite Subjects: 48540 Signals and Systems or equivalent
Subject Co-ordinator: Prof H T Nguyen
Objectives:
The principal objective of this subject is to introduce students to neural networks and fuzzy theory from an engineering perspective. In the identification and control of dynamic systems, neural networks and fuzzy systems can be implemented as model-free estimators and/or controllers. As trainable dynamical systems, these intelligent control systems can learn from experience with numerical and linguistic sample data.
Contents and Methods:
There are two modules in this subject: neural network theory and fuzzy logic theory. There will be 11 (2 hrs) sessions of lectures and tutorials, 12 (1 hr) project sessions, and 2 seminar sessions. The first module presents fundamental concepts of artificial neural systems. It introduces the foundations of neural network learning rules including the Hebbian, Perceptron, Delta, and Widrow-Hoff learning rules. The concept of error function minimisation using the steepest descent minimisation technique is extended to multilayer feedforward neural networks. Other concepts such as generalised delta learning rule, feedforward recall and error back-propagation training, associative memories, matching and self-organising networks will also be discussed. The second module presents fundamental concepts of fuzzy logic theory. It includes fuzzy sets, linguistic variables and approximate reasoning. In this module, the preliminaries and basic construction of a fuzzy controller will be discussed. It consists of four sections: the fuzzification interface, the knowledge base, the inference engine, and the defuzzification interface. An adaptive fuzzy logic controller, the self-organising fuzzy logic controller will also be discussed. For laboratory work, students are required to apply neural network or fuzzy logic for the identification or control of one practical project. Typical computing projects involve handwritten digit recognition, hand written character recognition or speech recognition. Typical control projects include a ball and beam system, a ball and hoop system, a coupled-tanks system, and an overhead crane system.
Assessment:
Assignments (3) 25% As1 (5%), As2 (10%), As3 (10%)
Final exam 25% Open Book
Project works 50% Sem1 (5%), Sem2 (5%), Demo (10%), Report (30%)
Text:
Nguyen H T, "Neural Networks and Fuzzy Logic", UTS, 1998
Zurada J M, "Introduction to Artificial Neural Systems", West Publishing Company, 1992
Ross T J, "Fuzzy Logic with Engineering Applications", McGraw-Hill, 1995
References
Haykin S, "Neural Networks - A Comprehensive Foundation", Prentice Hall, 1999
Jang JSR, Sun CT, Mizutani E, "Neuro-Fuzzy and Soft Computing", Prentice Hall, 1997
Yan J, Ryan M, Power J, "Using Fuzzy Logic", Prentice Hall, 1994
Brown M, "Neurofuzzy Adaptive Modelling and Control", Prentice Hall, 1994
Wang LX, "Adaptive Fuzzy Systems and Control", Prentice Hall, 1994
Yager RR, "Essential of Fuzzy Modelling and Control", John Wiley, 1994
Smith M, "Neural Networks for Statistical Modelling", Van Nostrand Reinhold, 1993
Kosko B, "Neural Networks and Fuzzy Systems", Prentice-Hall, 1992
Von Altrock C, "Fuzzy Logic and Neurofuzzy Applications Explained", Prentice Hall, 1995
Jamshidi M, "Fuzzy Logic and Control: Software and Hardware Applications", Prentice-Hall, 1993
Hertz J, "Introduction to the Theory of Neural Computing", Addison-Wesley, 1991
Pedrycz W, "Fuzzy Control and Fuzzy Systems", John Wiley, 1989
Mirai A R, "Artificial Intelligence", Chapman and Hall, 1990
McNeill D and Freiberger P, "Fuzzy Logic", Bookman Press, 1993
Course Name: Master of Engineering and other postgraduate courses in Engineering
Teaching School: Electrical Engineering
Credit Points: 6 (3 hpw)
Modes of Presentation: Lecture, tutorial and project work with a hospital visit (or a presentation by a guest lecturer) and a seminar presentation, normally within 3 hours per week.
Pre-requisites: A suitable undergraduate subject in Electrical Engineering Field of Practice as part of a completed first or higher degree in Engineering or a cognate discipline.
Co-requisites: NilObjectives:
The subject is concerned with the principles and design of medical instruments most commonly used in hospitals and their applications. However, the study of these instruments will be limited through three main major applications: cardiovascular disease (CVD), diabetes, and sports performance assessment. For each area, students will study its physiological or electrophysiological aspects and background, measurements of biopotentials and critical-care analytes for monitoring and diagnostic purposes, principles and design of biomedical devices for therapeutic purposes, and new developments for better treatment or assessment. The subject also aims to encourage the practice of good design.Contribution to course aims (rationale):
This post-graduate subject enables students to appreciate biomedical instrumentation and apply knowledge to the design of biomedical instruments and transducers, in professional practice.Content:
The first module concerns the heart and circulatory system, bioelectricity, electroconduction of the heart and heart problems. It includes the physiology of the cardiovascular system and excitable tissue, the concepts and techniques in electrophysiological (EP) measurement. Students will become familiar with design objectives for various electrophysiological instrumentation and devices, in particular electrocardiograms (ECG). For advanced developments, principles behind defibrillation, pacing and electrophysiological measurement will be discussed. The second module covers the background of diabetes mellitus, principles of diabetes management, and its long-term complications. It includes the principles of general biomedical instruments for monitoring and assessment of diabetes control such as blood glucose monitor, glycosylated haemoglobin (HbA1c) monitor. It also covers the principles of meal tolerance test (MTT), the frequently-sampled intravenous glucose tolerance test (IVGTT), and the mathematical model of glucose-insulin kinetics. For advanced developments in diabetic monitoring, principles behind a number of non-invasive blood glucose monitors and hypoglycaemia monitors will be discussed. Other relevant biomedical instruments include spectrometers, skin impedance sensors, heart-rate monitors, and electroencephalogram (EEG) monitors. The third module concerns sports performance assessment and deals with both respiratory and cardiovascular systems. It covers issues such as what is fitness and how the cardiovascular system responds to exercise. For assessing fitness, the method and instrumentation for direct determination of Maximum Oxygen Consumption will be discussed. For advanced developments in sports performance assessment, the physiological basis, method and instrumentation using submaximal tests will be introduced for the prediction of Maximum Oxygen Consumption. Other possibilities include the assessment of symptom-limited patients with CVD, or the assessment of blood lactate and its relevance to athletic performance.Method:
For project work, students are required to work on one dedicated biomedical project. The specifications of these projects when possible are formulated in consultation with medical specialists and biomedical engineers at a number of leading hospitals (Royal North Shore, Westmead, Prince of Wales, etc.). There will be 12 (2 hrs) sessions of lectures and tutorials, 12 (1 hr) project sessions, 2 seminar sessions, and 1 session dedicated to hospital visit (or a keynote seminar presentation by a guest lecturer).Assessment:
Assignments (3) : Assignment 1 (15 %), Assignment 2 (15%), Assignment 3 (15%)
Seminars (2) : Seminar 1 (10%), Seminar 2 and Demonstration (15%)
Project Report : Report (30 %)References:
1. Webster J G, Medical Instrumentation, Houghton Mifflin, 1992
2. Carr J J, Introduction to Biomedical Equipment Technology, Prentice Hall, 1993
3. Bronzino J D, The Biomedical Engineering Handbook, IEEE/CRC Press Handbook Series, 1995
4. Enderle J, Blanchard S, Bronzino S, Introduction to Biomedical Enngineering, Academic Press, 2000
5. Dawson-Saunders B, Trapp RG, Basic & Clinical Biostatistics, Appleton & Lange, 1994
6. The Diabetes Centre, St. Vincent's Hospital, Sydney, Understanding Diabetes - Managing your Life with Diabetes, Simon & Schuster Australia, Sydney, 1997
7. Lefebre P J, Pipeleers D G, The Pathology of the Endocrine Pancreas in Diabetes, Springer-Verlag, Berlin, 1988
8. Cromwell L, Biomedical Instrumentation & Measurements, Prentice Hall, 1980
9. Cook A M, Therapeutic Medical Devices, Prentice Hall, 1982
10. Cohen A, Biomedical Signal Processing, CRC Press Inc, 1986
11. Edwards C R C, Boucheier I A D, Haslett C, Chilvers E R, Davidson's Principles and Practice of Medicine, Churchill Livingstone, 1995
12. Kalant H, Roschlau W H E, Principles of Medical Pharmacology, B.C. Decker, 1989
Co-ordinator: Prof Hung Nguyen
Other staff involved: Ms Vicki McKain, Mr Andrew MearsCalendar entry:
The subject is concerned with the principles and design of medical instruments most commonly used in hospitals and their applications. However, the study of these instruments will be limited through three main major applications: cardiovascular disease (CVD), diabetes, and sports performance assessment. For each area, students will study its physiological or electrophysiological aspects and background, measurements of biopotentials and critical-care analytes for monitoring and diagnostic purposes, principles and design of biomedical devices for therapeutic purposes, and new developments for better treatment or assessment.