Guidance, navigation and control strategies for seakeeping and shock mitigation of fast marine crafts
PhDs and postgraduate research
Self-funded PhD students only
School of Mechanical and Design Engineering
October and February
Applications accepted all year round
The PhD will be based in the School of Mechanical and Design Engineering and will be supervised by Dr Ya Huang.
The work on this project could involve:
- Interpreting visual cues of oncoming wave features with respect to human biomechanical (for traumatic injuries) and physio-psychological (for discomfort and motion sickness) responses to mechanical shocks on fast crafts.
- Developing a memory-based reasoning method for close-range path planning of surface vessels for seakeeping criteria.
- Evaluating nonlinear model predictive controllers (NMPC) and sliding mode controls (SMC) based on inputs of visual wave feature inputs, and output of hydrodynamic and dynamic loads transmitted to the vessel structure, and biomechanical loads measured on lifeboat crew.
- Fuzzy logic and sliding mode control Correlate hydrodynamic loads from simulation with biomechanic loads derived from the inverse dynamics computation of the musculoskeletal pipeline using six typical wave encounters extracted from collected data.
The project intents to develop a human response to motion inspired intelligent controller to improve the seakeeping performance and safety of human occupants on fast surface vessels. Seakeeping, concerning the control of vessel motion when subjected to waves and the resulting effects on humans, systems, and mission capacity, remains one of the biggest challenges in maritime safety. In heavy seas each ‘wave slam’ induces high-acceleration mechanical shocks. Storms are expected to become more common and severe due to climate change. To preserve the maritime industry, offshore wind farms and rescue services, the marine systems will need to adapt.
To make control decisions that mitigates detrimental effects on seakeeping requires interpretation, derivation and validation of the multiple-input-multiple-output system of oncoming wave features, hydrodynamic loading on the vessel, dynamic loading on machines and biomechanical loading on occupants.
The School of Mechanical and Design Engineering has collaborated with the RNLI engineering team to establish the fundamental loading patterns of typical slam encounters on its fleet of lifeboats. Laboratory based dynamic sitting experiments conducted by experienced lifeboat coxswains has provided insights of the main biomechanical loads. A set of primary visual cues for wave encounters are derived from a questionnaire study with a group of experienced RNLI coxswains. The project will start to design path planning based on interpreted wave visual cues using rule-based systems.
The memory-based reasoning approach will resolve overlaps of the different categories of experts. The new project will significantly impact on the human factors, future transport system designs, and particularly the marine industry. The project is aligned with the University’s vision to build global and national partnership through the boundary-breaking themes of future transportation and intelligent systems. The student is expected to collaborate with project partners from areas of mechanical engineering, computing, intelligent systems, biomechanics and industrial partners in the maritime industry. Furthermore, the student is expected to attend multiple events such as conferences, project meetings, and workshops.
Fees and funding
Funding availability: Self-funded PhD students only.
PhD full-time and part-time courses are eligible for the UK Government Doctoral Loan (UK and EU students only).
2021/2022 fees (applicable for October 2021 and February 2022 start)
PhD and MPhil
Home/EU/CI full-time students: £4,500 p/a**
Home/EU/CI part-time students: £2,250 p/a**
International full-time students: £17,600 p/a*
International part-time students: £8,800 p/a*
PhD by Publication
External candidates: £4,407*
Members of staff: £1,720
All fees are subject to annual increase. If you are an EU student starting a programme in 2021/22 please visit this page.
*This is the 2020/21 UK Research and Innovation (UKRI) maximum studentship fee; this fee will increase to the 2021/22 UKRI maximum studentship fee when UKRI announces this rate in Spring 2021.
Some PhD projects may include additional fees – known as bench fees – for equipment and other consumables, and these will be added to your standard tuition fee. Speak to the supervisory team during your interview about any additional fees you may have to pay. Please note, bench fees are not eligible for discounts and are non-refundable.
You'll need a good first degree from an internationally recognised university (minimum upper second class or equivalent, depending on your chosen course) or a Master’s degree in an appropriate subject. In exceptional cases, we may consider equivalent professional experience and/or qualifications. English language proficiency at a minimum of IELTS band 6.5 with no component score below 6.0.
Applicants should hold an undergraduate Masters first class degree or MSc distinction (or non-UK equivalent) in Engineering, Mathematics, Physics or a similar discipline. Experiences in programming, intelligent systems, numeric modelling and signal processing are desirable.
How to apply
We’d encourage you to contact Dr Ya Huang (Ya.Huang@port.ac.uk) to discuss your interest before you apply, quoting the project code.
When you are ready to apply, please follow the 'Apply now' link on the Mechanical and Design Engineering PhD subject area page and select the link for the relevant intake. Make sure you submit a personal statement, proof of your degrees and grades, details of two referees, proof of your English language proficiency and an up-to-date CV. Our ‘How to Apply’ page offers further guidance on the PhD application process.
When applying please quote project code: SMDE5241021.