Observer-Based Unknown Input Estimator of Wave Excitation Force for a Wave Energy Converter
| Autor: | Mustafa Abdelrahman, Ron J. Patton |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Observer (quantum physics) Computer science 020209 energy Estimator 02 engineering and technology Kalman filter Harmonic analysis Nonlinear system Extended Kalman filter 020901 industrial engineering & automation Control and Systems Engineering Drag Control theory 0202 electrical engineering electronic engineering information engineering Electrical and Electronic Engineering Parametric statistics |
| Zdroj: | IEEE Transactions on Control Systems Technology. 28:2665-2672 |
| ISSN: | 2374-0159 1063-6536 |
| DOI: | 10.1109/tcst.2019.2944329 |
| Popis: | Several energy maximization control approaches for point-absorber wave-energy converter (PAWEC) systems require knowledge of the wave excitation force (WEF) that is not measurable during the PAWEC operation. Many WEF estimators have been proposed based on stochastic PAWEC modeling using the Kalman filter (KF), extended KF (EKF), or receding-horizon estimation. Alternatively, a deterministic WEF estimator is proposed here based on the fast unknown input estimation (FUIE) concept. The WEF is estimated as an unknown input obviating the requirement to represent its dynamics. The proposed observer-based unknown input estimator (OBUIE) inherits the capability of estimating fast-changing signals from the FUIE, which is important when considering irregular wave conditions. Unlike preceding methods, the OBUIE is designed based on a PAWEC model, including the nonlinear viscous drag force. It has been shown that the nonlinear viscous drag force is essential for accurate PAWEC model description, within the energy maximization control role. The performance of the proposed estimator is evaluated in terms of PAWEC conversion efficiency in a single degree-of-freedom PAWEC device operating in regular and irregular waves. Simulation results are obtained using MATLAB to evaluate the estimator under different control methods and subject to parametric uncertainty. |
| Databáze: | OpenAIRE |
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