@article{Parwal_Fregelius_Almeida_Svensson_Temiz_Oliveira_Boström_Leijon_2020, title={A Comparative Analysis of Linear and Nonlinear Control of Wave Energy Converter for a Force Control Application}, volume={2}, url={https://marineenergyjournal.org/imej/article/view/38}, DOI={10.36688/imej.2.39-50}, abstractNote={<p>The aim of wave energy converters (WECs) is to harvest the energy from the ocean waves and convert into electricity. Optimizing the generator output is a vital point of research. A WEC behaves as a nonlinear system in real ocean waves and a control that approximates the behaviour of the system is required. In order to predict the behaviour of WEC, a controller is implemented with an aim to track the referenced trajectory for a force control application of the WEC. A neural model is implemented for the system identification and control of the nonlinear process with a neural nonlinear autoregressive moving average exogenous (NARMAX) model. The neural model updates the weights <br>to reduce the error by using the Levenberg-Marquardt back-propagation algorithm for a single-input-single-output (SISO) nonlinear system. The performance of the system under the proposed scheme is compared to the same system <br>under a PI-controller scheme, where the PI gains have been tuned accordingly, to verify the control capacity of the proposed controller. The results show a good tracking of dq (direct-quadrature) axes currents by regulating the stator <br>currents, and hence a force control is achieved at different positions of the translator. The dynamic performance of the control is verified in a time domain analysis for the displacement of the translator.</p>}, number={1 (Nov)}, journal={International Marine Energy Journal}, author={Parwal, Arvind and Fregelius, Martin and Almeida, Pedro and Svensson, Olle and Temiz, Irina and Oliveira, Janaina G. and Boström, Cecilia and Leijon, Mats}, year={2020}, month={Jun.}, pages={39–50} }