PROJECT TITLE :

Numerical Optimal Control of Wave Energy Converters

ABSTRACT:

Energy maximizing management for wave energy converters (WECs) could be a nonstandard optimal control problem. While the constrained optimal management downside for WECs has been addressed by model-predictive control methods, such strategies want to employ cost function modifications due to convexity issues and the algorithms are computationally complicated, creating real-time implementation troublesome. The recently developed family of direct transcription methods provide a promising alternative, since they are computationally efficient and a convex drawback results. Moreover, constraints on each the device displacement and velocity, and power start off force, are easily incorporated. Both single-body and multibody device models can be used, plus arrays of single-body or multibody devices.


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