Maximising absorbed energy using neuro-adaptive controller for heaving point absorbers

摘要

This paper presents a computation-friendly control approach to improve extracted power from sea waves with heaving wave energy converter. A Lyponov function based neuro-adaptive inverse controller is proposed for velocity tracking of the heaving buoy under resonance condition for maximum power transfer. The reference velocity is generated offline by optimizing the absorbed energy with constraints on buoy's excursion. Analysis of simulation study validates a superior velocity tracking along with enhanced power capture from the proposed scheme as compared to passive loading technique in irregular sea conditions.