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This paper considers controlling and maximizing the absorbed power of wave energy converters for irregular waves. With respect to physical constraints of the system, a model predictive control is applied. Irregular waves’ behavior is predicted by Kalman filter method. Owing to the great influence of controller parameters on the absorbed power, these parameters are optimized by imperialist competitive...
It is widely acknowledged that ocean waves produce an enormous source of energy. This paper deals with wave prediction by means of kalman filter and a wave energy converter (WEC) which is controlled by model predictive control (MPC). In order to increase absorbed energy, prediction horizon, control horizon and sampling time of MPC are optimized by revolutionary algorithm and improved MPC is presented...
In the field of wave energy converters maximization of absorbed power has particular importance. Therefore, optimization of effective parameters on absorbed power is the best solution to reach this aim using meta heuristic methods. The method used in this paper is improved particle swarm optimization and considered parameters are determined based on electrical model of a wave energy converter. Finally,...
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