Tuning of Fuzzy Logic Controller Using an Improved Black Hole Algorithm for Maximizing Power Capture of Ocean Wave Energy Converters

Seas and oceans are the most important sources of renewable energy in the world. The main purpose of this paper is to use an appropriate control strategy to improve the performance of point absorbers. In this scheme, considering the high uncertainty in the parameters of the power take-off system in different atmospheric conditions, a new improved black hole algorithm is introduced to tune fuzzy controller parameters for controlling and tracking the power. In order to demonstrate validity and performance of the proposed algorithm, simulations are performed for some benchmark functions. The proposed method is then implemented for tuning the fuzzy controller parameters in order to obtain the maximum power capture of wave energy converters. Compared to particle swarm optimization and conventional black hole algorithm, the results of the proposed method indicate enhancements in reference speed tracking and absorbed power.