Energy harvesting optimization of an Inertial Sea Wave Energy Converter through Model Predictive Control
| Autor: | G. Bracco, Vito Cerone, Massimo Canale |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
0209 industrial biotechnology
Optimization problem Computer science 020209 energy Control unit 02 engineering and technology Solver Nonlinear system Model predictive control 020901 industrial engineering & automation Control theory 0202 electrical engineering electronic engineering information engineering Energy harvesting Energy (signal processing) |
| Zdroj: | ICCA |
| DOI: | 10.1109/icca.2019.8899936 |
| Popis: | In this paper, we introduce an original Model Predictive Control (MPC) approach to optimize energy production of an inertial wave sea energy converter (ISWEC). In particular, within the MPC framework the performance tradeoff among different control objectives such as energy production, control effort and speed limitation are effectively handled. Mechanical and electrical physical constraints are taken into account to ensure proper working conditions to the ISWEC system. A linear model of the ISWEC device is employed to cast the underlying MPC optimization problem as a quadratic programme, to obtain a fast online implementation of the controller on the present commercial processor control unit platform by means of an efficient solver. Simulation tests performed on a detailed nonlinear ISWEC model show the effectiveness of the introduced approach. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|