A Comparative Analysis of Linear andNonlinear Control of Wave Energy Converterfor a Force Control Application

International Marine Energy Journal

卷:2

Janaina G. Oliveira¹  Pedro Almeida¹  Mats Leijon²  Martin Fregelius³  Cecilia Boström³  Olle Svensson³  Irina Temiz³  Arvind Parwal⁴ 

[1] Department of ElectricalEnergy, Universidade Federal de Juiz de Fora, Brazil;

[2] Department of Engineering sciences, Uppsala University, Sweden and Department of Electrical Engineering, ChalmersUniversity of Technology, 412 96 Gothenburg, Sweden.;

[3] Department of Engineering sciences, Uppsala University, Sweden;

[4] Uppsala University;

关键词: current control, force control, neuralNARMAX, permanent magnet linear generator (PMLG),wave energy converter.;   

DOI  :  10.36688/imej.2.39-50

来源: DOAJ

【 摘 要 】

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 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 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 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.

【 授权许可】

Unknown