Engr 9826 Advanced Control Systems
Winter 2007
Instructor: Tariq Iqbal, Faculty of Engineering and Applied Science, Memorial University of Newfoundland, Email: tariq@engr.mun.ca
Course website: The formal webCT based course website can be accessed at http://webct.mun.ca You can use your 9-digit student number and PIN (from the Student Web) to log-on to the website. If this does not work, please contact Distance Education and Learning Technologies (DELT) help desk. Their contact information may be found at http://www.distance.mun.ca/student/ The course website provides the latest course information, copies of class handouts, calendar, practice quizzes, homework assignments and a lot more.
Course Description:
This course covers design and applications of advanced control systems. Students will be assumed to have a working knowledge of linear control systems, fundamentals of digital control systems (topics covered in Engr 5821 and Engr 6825), Matlab and Simulink. This course will provide a solid theoretical background and practical examples of design, simulation and implementation of controllers for electromechanical systems. The aim of the course is to develop student knowledge and understanding of control system design, simulation and implementation. It also aims to help the students apply their mathematical skills and knowledge of control system theory to a number of practical examples. At the end of this course students will be able to model and linearize nonlinear systems, determine a suitable controller for the system, design a selected controller for the system, simulate and lab test the performance of the designed controller. Matlab/simulink based exercises and seven laboratories (based on Labview controlled MS150 servo system) covering rigorous examples of modeling, design, simulation and implementation of control systems are included in this course.
Course Outline:
Lectures: Tuesday and Thursday 10:30am to 12:00pm in room EN4020.
Assignments:
Lab 1: Introduction and system identification
Lab 2: PID controller design
Lab 3: Design of a cascade controller
Lab 5: Design of optimal controller with integral action and estimator
Lab 6: Design of fuzzy logic controller
Lab 7: Comparison of controllers
Mid Term Test 20 %
Final Exam 40 %
Assignments (5) 15 %
Labs (3+3+3+4+4+4+4) 25 %