April 10, 2024Open Access

Genetic Algorithms for Design of Optimal Velocity Tracking Controllers Including PTO Efficiencies

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Using genetic algorithms leads to optimal power take-off forces for enhanced electrical output, improving efficiency.
The approach yields a transfer function with a smaller average phase error compared to manual fitting, enhancing tracking accuracy.
Simulations reveal that genetic algorithm-derived transfer functions match or exceed the performance of manually fitted versions, with noted increases in energy capture in various sea states. Their methodology provides an innovative basis for control co-design, promoting versatility in design processes.

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Randomized trial demonstrates optimal PTO force increases energy capture in control systems, suggesting improved efficiency.

Onslow et al. (2024) studied this question.

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