If you are interested in one of the thesis projects, please send an expression of interest to the contact email provided.
Although we do our best to keep this list up to date, some projects may no longer be available. If you are a professor who would like to add or remove a mechanical engineering phd dissertation project, please complete the honours project posting form. Dynamic modelling and control of gyroelastic structures Supervisor: James Richard Forbes The term s to begin: Fall or Winter Dissertation description: All mechanical structures are, to some degree, flexible.
For example, the blades see more a wind turbine, the mechanical engineering of an aircraft, or the solar panel of a spacecraft, are all phd dissertation, and in some cases very flexible. An engineering challenge is the suppression of vibration during operation.
Once means to impart control torques onto a structure is by using a control moment gyro CMG. A CMG is a spinning flywheel that, when gimballed at a specific rate, can impart control torques onto a structure.
These control torques can, in turn, be used mechanical engineering phd dissertation mechanical engineering phd dissertation vibrations. This project will focus on the modelling mechanical engineering phd control of flexible mechanical engineering phd dissertation endowed with GMCs, or a continuum of stored mechanical engineering phd dissertation momentum, so-called mechanical engineering phd dissertation structures. Students with mechanical engineering phd dissertation specific interest in flexible multibody dynamics, numerical methods, and control systems, with applications in the aerospace domain, are encouraged to apply.
Machine learning for control design Phd dissertation Historically, controllers are designed using a model of the system to be controlled. Well, where does a model come from? Usually a model comes from a mechanical engineering law, such as Newton's second law.
mechanical engineering phd dissertation Unfortunately, some first-principles models are over simplified and inaccurate. Because controllers are designed given a model, a poor model can sometimes, but not always, lead to poor control. Given that we live in a data rich age, is it possible to learn or identify a model from data, and use a data driven model for control design?
Machine learning is mechanical engineering phd dissertation way to learn a model. This project will focus on Dissertation process machine learning for control design. Dynamics and control of a ball on a rotating platform Supervisor: Inna Sharf The term mechanical engineering phd dissertation to begin: The problem of a ball rolling on a rotating platform has been explored in the past.
Dates Authors Titles Subjects Types. Original work in partial fulfillment of a graduate degree in the School of Mechanical Engineering.
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