This course aims at developing Ph.D student's' scientific communication skill and assessing students' research progress after proposal.
This course deals with the fundamental principles of control systems. The course aims to develop the basic understanding of control system theory and its role in engineering design. The student is exposed to many practical problems and their solutions. The laboratory work presents the opportunity to experiment with actual control systems hardware.
Engineers depend on mathematical equations to describe behavior of many systems. In practice these equations cannot be solved analytically, therefore, numerical methods are often used. This course introduces engineering students to these numerical methods and algorithms. It is an introductory course, and can be complemented by a variety of other courses geared at different approaches to numerical simulation of the many phenomena occurring in different engineering disciplines, e.g. Fluid Mechanics, Solid Mechanics, Electromagnetics, etc.
This course exposes students to the essentials of electronic technology and the rudiments of design so that they, as mechanical engineers, can understand the operation of basic electronic circuits in the field of control and instrumentation. The course covers basic circuits, including linear and nonlinear circuit analysis, basic semiconductor electronic devices, and electronic systems, including digital and analog systems, and analog-digital interface circuits.
This
is an introductory course on the topic of microprocessors and their
application
towards the control of electromechanical systems. The internal
structure and
timing of the microprocessor and its supporting peripheral chips will
be
studied in detail. The course provides hands-on experience in the form
of
project work. The student will be required to perform hardware
interfacing and
program control algorithms in C-language. Subroutines can be written in
C-language or 80x86 assembly language for input/output and for the
programming
of the support chips.
Dynamics
of mechanical and chemical
processes, dynamics modeling
and system identification, process
control concepts, control system design strategies and process safety,
conventional analogue (or continuous-time) and digital computer (or
discrete-time) control techniques, implement computer controller in the
laboratory project.
Software
platform for assignments and project:
MATLAB+SIMULINK. Topics to be covered will include all or some of the
following.
2010 |
Capstone Project: Micro-vehicle design |
2008 |
Capstone Project: Plastic Netting Cutting Machine |
2007 |
NSERC Undergraduate Project: Determination of coverage of shot peened surface |
2006 |
Capstone Project: Electrically Powered Vehicle- Engine |
2005 |
Capstone Project: Ply Picker |
2005 |
Capstone Project: Satellite Release System |
2004 |
Capstone Project: Electric Scooter with Regenerative Braking |
2003 |
Capstone Project: Groover APS Version BK |