KEYWORD |

### MORE Lab _ http://www.morenergylab.polito.it

#### LPV modelling and control of wave energy conversion systems

keywords CONTROL SYSTEMS, DATA ANALYSIS, MODELLING, SYSTEM DYNAMICS, SYSTEM IDENTIFICATION, WAVE ENERGY - HYDRODYNAMICS - NUMERICAL MODELLING

Reference persons NICOLAS EZEQUIEL FAEDO

External reference persons Dr. Demián Garcia-Violini (Universidad Nacional de Quilmes, Argentina)

Research Groups MORE Lab _ http://www.morenergylab.polito.it

Thesis type MASTER THESIS

Description Wave energy conversion devices, commonly referred to as wave energy converters (WECs), need to be controlled in

order to maximise the energy extraction from the ocean wave resource, hence directly lowering the associated levelised

cost of energy.

Control for WEC systems departs from standard regulation/tracking objectives, commonly employed in control engineering:

The objective is that of maximising energy extraction, and not that of following/tracking a given set-point/reference.

As such, the vast majority of the WEC control techniques employ lie within the field of optimal control theory, where

an associated optimal control problem (OCP) is solved in real-time to compute the corresponding control action. OCPs

are virtually always model-based: That is, a dynamical model of the WEC system is required in order to predict future

motion, enforce constraints, and maximise the energy objective. These models need to be parsimonious in terms of

both computational and analytical complexity, in order to facilitate real-time calculations, i.e. to be implementable.

In the pathway towards building these control-oriented models, a number of potentially limiting standing assumptions

are often adopted. These modelling hypotheses, which aim at simplifying the dynamical description of the WEC system,

inherently introduce a large degree of uncertainty in the control design problem. This project will explore the use of

linear parameter varying (LPV) representations for WEC systems in order to achieve robust performance for controllers

aiming at maximising energy extraction from the wave resource. LPV systems feature a closed-form representation of a

system in terms of a set of scheduling parameters, offering the possibility of incorporating dynamical behaviour which

is often neglected in purely linear models.

See also main.pdf

Required skills Linear algebra, fundamentals of physical modelling, transfer functions, state-space systems.

Deadline 06/09/2024
PROPONI LA TUA CANDIDATURA