Shangyan Zou
Michigan Technological University
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Publication
Featured researches published by Shangyan Zou.
oceans conference | 2016
Ossama Abdelkhalik; Shangyan Zou; Giorgio Bacelli; Rush D. Robinett; David G. Wilson; Ryan Geoffrey Coe
Many of the control strategies for wave energy converters (WECs) that have been studied in the literature rely on the availability of estimates for either the wave elevation or the exciting force caused by the incoming wave; with the objective of addressing this issue, this paper presents the design of a state estimator for a WEC. In particular, the work described in this paper is based on an extended Kalman filter that uses measurements from pressure sensors located on the hull of the WEC to estimate the wave exciting force. Simulation results conducted on a heaving point absorber WEC shows that the extended Kalman filter provides a good estimation of the exciting force in the presence of measurement noise combined with a simplified model of the system, thus making it a suitable candidate for the implementation in an experimental set-up.
International Journal of Control | 2017
Ossama Abdelkhalik; Shangyan Zou; Rush D. Robinett; Giorgio Bacelli; David G. Wilson
ABSTRACT Most control algorithms of wave energy converters require prediction of wave elevation or excitation force for a short future horizon, to compute the control in an optimal sense. This paper presents an approach that requires the estimation of the excitation force and its derivatives at present time with no need for prediction. An extended Kalman filter is implemented to estimate the excitation force. The measurements in this approach are selected to be the pressures at discrete points on the buoy surface, in addition to the buoy heave position. The pressures on the buoy surface are more directly related to the excitation force on the buoy as opposed to wave elevation in front of the buoy. These pressure measurements are also more accurate and easier to obtain. A singular arc control is implemented to compute the steady-state control using the estimated excitation force. The estimated excitation force is expressed in the Laplace domain and substituted in the control, before the latter is transformed to the time domain. Numerical simulations are presented for a Bretschneider wave case study.
IEEE Transactions on Sustainable Energy | 2017
Ossama Abdelkhalik; Shangyan Zou; Rush D. Robinett; Giorgio Bacelli; David G. Wilson; Ryan Geoffrey Coe; Umesh A. Korde
For a three-degree-of-freedom wave energy converter (heave, pitch, and surge), the equations of motion could be coupled depending on the buoy shape. This paper presents a multiresonant feedback control, in a general framework, for this type of a wave energy converter that is modeled by linear time invariant dynamic systems. The proposed control strategy finds the optimal control in the sense that it computes the control based on the complex conjugate criteria. This control strategy is relatively easy to implement since it is a feedback control in the time domain that requires only measurements of the buoy motion. Numerical tests are presented for two different buoy shapes: a sphere and a cylinder. Regular, Bretschnieder, and Ochi–Hubble waves are tested. Simulation results show that the proposed controller harvests energy in the pitch-surge-heave modes that is about three times the energy that can be harvested using a heave-only device. This multiresonant control can also be used to shift the energy harvesting between the coupled modes, which can be exploited to eliminate one of the actuators while maintaining about the same level of energy harvesting.
international conference on fuel cell science engineering and technology fuelcell collocated with asme international conference on energy sustainability | 2017
Shangyan Zou; Ossama Abdelkhalik
The control of a three-degree-of-freedom (3-DOF) wave energy converter (WEC) is considered in this paper. Recently, several methods have been developed in the literature for this problem. This paper is a comparison between three methods: the non-linear model predictive control, the pseudo-spectral method, and the time-variant linear quadratic optimal control. Comparison between the three methods is presented in terms of the harvested energy.Copyright
Renewable Energy | 2017
Shangyan Zou; Ossama Abdelkhalik; Rush D. Robinett; Giorgio Bacelli; David G. Wilson
Journal of Ocean Engineering and Marine Energy | 2016
Ossama Abdelkhalik; Rush D. Robinett; Shangyan Zou; Giorgio Bacelli; Ryan Geoffrey Coe; Diana L Bull; David G. Wilson; Umesh A. Korde
International Journal of Marine Energy | 2017
Shangyan Zou; Ossama Abdelkhalik; Rush D. Robinett; Umesh A. Korde; Giorgio Bacelli; David G. Wilson; Ryan Geoffrey Coe
Renewable Energy | 2019
Ossama Abdelkhalik; Shangyan Zou
Journal of Marine Science and Engineering | 2018
Shangyan Zou; Ossama Abdelkhalik
IEEE Transactions on Sustainable Energy | 2018
Shangyan Zou; Ossama Abdelkhalik