About the Project
The aim of the project is to develop a robust control strategy potentially using energy take out of the Wave Energy Harvesting Device such as pendulum in order to optimise the energy take out from the system. The aim will be achieved through the development of model and statistical analysis of the system dynamics with and without the proposed controller. This study would have a wider application outside of Wave Energy Extraction and can be adapted to any random excited energy harvesting system such as powering downhole tools in drilling systems.
Candidates should have (or expect to achieve) the UK honours degree at 2.1 or above (or equivalent) in Mechanical//Civil/Applied Mathematics/Physics or closely related discipline. It is essential that the applicant has a Good understanding of “linear system dynamics and control” and basic knowledge of “nonlinear systems” along with proficiency in simulating system dynamics using MATLAB or Python
Engineering Mathematics especially ODEs and numerical methods.
Dynamics (Lumped mass modelling and analysis)
Programming in MATLAB or Python to solve ODEs and piece-wise linear systems.
• Apply for Degree of Doctor of Philosophy in Engineering
• State name of the lead supervisor as the Name of Proposed Supervisor
• State ‘Self-funded’ as Intended Source of Funding
• State the exact project title on the application form
When applying please ensure all required documents are attached:
• All degree certificates and transcripts (Undergraduate AND Postgraduate MSc-officially translated into English where necessary)
• Detailed CV
Informal inquiries can be made to Dr V Vaziri ([email protected]), with a copy of your curriculum vitae and cover letter. All general enquiries should be directed to the Postgraduate Research School ([email protected])
It is possible to undertake this project by distance learning. Interested parties should contact Dr Vaziri to discuss this.
 Najdecka, A., Narayanan, S. and Wiercigroch, M., 2015. Rotary motion of the parametric and planar pendulum under stochastic wave excitation. International Journal of Non-Linear Mechanics, 71, pp.30-38.
 Vaziri Hamaneh, S.V., 2015. Dynamics and control of nonlinear engineering systems (Doctoral dissertation, University of Aberdeen).
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