Abstract
AbstractExisting studies within the literature that focus on designing parametric energy-maximizing controllers for Wave Energy Converter (WEC) systems predominantly rely on the impedance-matching (IM) principle, originally developed for linear time-invariant systems. Alternatively, iterative optimization routines are commonly employed for nonlinear WECs. However, these approaches often face a trade-off between effectiveness in maximizing energy extraction and computational efficiency. To address this limitation, this study proposes a computationally efficient controller tuning method for analogous synthesis in the case of nonlinear WECs. The proposed approach combines a statistical linearization technique known as spectral-domain modeling with the IM principle, to synthesize a Proportional–Integrative (PI) controller for a nonlinear WEC. Furthermore, a comparison is performed with two other synthesis methods: one based on a standard (i.e. linear) frequency-domain representation of the WEC that incorporates the IM principle, and the other employing a gradient-free optimization routine applied to the nonlinear time-domain model of the WEC for PI parameter tuning through exhaustive numerical search. A discussion on the effectiveness of each tuning method in maximizing energy absorption is provided, including an appraisal of their associated computational time requirements. Numerical analyses demonstrate that the proposed method, which integrates spectral-domain modeling and IM, can achieve (almost) optimal PI controller design for a nonlinear WEC. Furthermore, this study addresses the inaccuracies inherent in the frequency-domain approach and significantly reduces the computational time compared to the exhaustive search procedure. The findings of this research represent a significant advancement towards the development of simple, effective, and efficient IM-based techniques for synthesis of controllers in nonlinear WEC systems
Funder
Ministero dell’Università e della Ricerca
European Union - NextGenerationEU
Publisher
Springer Science and Business Media LLC
Reference65 articles.
1. Ahamed, R., McKee, K., Howard, I.: Advancements of wave energy converters based on power take off (PTO) systems: a review. Ocean Eng. 204, 107248 (2020). https://doi.org/10.1016/j.oceaneng.2020.107248
2. Babarit, A., Delhommeau, G.: Theoretical and numerical aspects of the open source BEM solver NEMOH. In: Proceedings of the 11th European wave and tidal energy conference, pp 1–12 http://130.66.47.2/redmine/attachments/download/235/EWTEC2015 Babarit (2015)
3. Bacelli, G., Nevarez, V., Coe, R.G., Wilson, D.G.: Feedback resonating control for a wave energy converter. IEEE Trans. Ind. Appl. 56, 1862–1868 (2020). https://doi.org/10.1109/TIA.2019.2958018
4. Bonfanti, M., Bracco, G.: Non-linear frequency domain modelling of a wave energy harvester. 122 MMS. https://doi.org/10.1007/978-3-031-10776-4_100 (2022)
5. Bonfanti, M., Carapellese, F., Sirigu, S.A., Bracco, G., Mattiazzo, G.: Excitation forces estimation for non-linear wave energy converters: a neural network approach. In: IFAC-PapersOnLine, pp 12334–12339. https://doi.org/10.1016/j.ifacol.2020.12.1213 (2020)
Cited by
2 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Optimization and Energy Maximizing Control Systems for Wave Energy Converters II;Journal of Marine Science and Engineering;2024-08-01
2. Models Based on Dynamics and Discrete Global Optimisation Algorithms;2024 5th International Conference on Information Science, Parallel and Distributed Systems (ISPDS);2024-05-31