Research on Excitation Estimation for Ocean Wave Energy Generators Based on Extended Kalman Filtering

Yuchen Zhang, Zhenquan Zhang, Jun Wang, Jian Qin, Shuting Huang, Gang Xue and Yanjun Liu ()
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Yuchen Zhang: Key Laboratory of High-Efficiency and Clean Mechanical Manufacture of Ministry of Education, Shandong University, Jinan 250061, China
Zhenquan Zhang: Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China
Jun Wang: Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China
Jian Qin: Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China
Shuting Huang: Institute of Marine Science and Technology, Shandong University, Qingdao 266237, China
Gang Xue: Key Laboratory of High-Efficiency and Clean Mechanical Manufacture of Ministry of Education, Shandong University, Jinan 250061, China
Yanjun Liu: Key Laboratory of High-Efficiency and Clean Mechanical Manufacture of Ministry of Education, Shandong University, Jinan 250061, China

Energies, 2024, vol. 17, issue 3, 1-17

Abstract: Wave energy generation methods have significant energy costs. The implementation of sophisticated control techniques in wave energy generators can lower the cost of power generation by optimizing the energy recovered from wave energy converters (WECs). To determine control inputs, most control systems rely on knowledge of the wave excitation force, including information on past, present, and future excitation forces. For the excitation of WEC devices, wave excitation force can only be inferred and predicted because it is an unmeasurable quantity. One of the more widely used observers in wave excitation estimates at the moment is the Kalman filter, but its use is primarily restricted to linear Kalman filtering. The mooring system is an integral component of floating wave energy producers. The mooring force of the device is actually nonlinear; however, the majority of current studies on excitation estimates for wave energy producers based on Kalman filter methods employ an ideal motion model based on the linearization of the mooring force. This paper, in an attempt to make things more realistic, creates a WEC system with highly nonlinear mooring forces, suggests a way to build a wave excitation force estimator for a nonlinear WEC system using the extended Kalman filtering method, and assesses the impact of various factors, such as measurement noise, random phase, and the number of equal-energy methods dividing the frequency, on the accuracy of the wave excitation force estimate.

Keywords: wave excitation force; estimation; wave energy converter; extended Kalman filter (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2024
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