Genetic algorithms for design of optimal velocity tracking controllers including PTO efficiencies

Onslow, Matthew and Stock, Adam; (2024) Genetic algorithms for design of optimal velocity tracking controllers including PTO efficiencies. In: 2024 UKACC 14th International Conference on Control (CONTROL). UKACC International Conference on Control (CONTROL) . IEEE, GBR, pp. 7-12. ISBN 9798350374261 (https://doi.org/10.1109/control60310.2024.10532033)

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Abstract

Genetic algorithms use the ideas of Darwinian evolutionary theory to find the optimal solution to a design problem. Here they are utilised in two scenarios. Firstly, finding the optimal power take-off (PTO) force for maximising the electrical power output of a device by accounting for PTO efficiencies. The genetic algorithm finds a solution marginally faster than a brute forcing method with the added benefit of not being constrained to a discrete grid of test points, hypothetically leading to a more accurate result. Secondly, these optimal power take-off forces are used with another genetic algorithm to fit a transfer function for use as part of a previously designed adapted optimal velocity tracking controller that accounts for PTO efficiencies. Along with the reduced requirement for control engineering expertise, the resultant transfer function is found to have a smaller average phase error, when compared to a manually fitted transfer function. Simulations are undertaken that find that using a genetic algorithm derived transfer function results in approximately the same, or better energy capture when compared to the manually fitted transfer function, depending on the sea state, with the largest improvement being an increase of 5.93%. These methods form the basis of a potential control co-design methodology.

  • Item type:Book Section
    ID code:89549
    Dates:
    Date
    Event
    22 May 2024
    Published
    12 April 2024
    Published Online
    12 January 2024
    Accepted
    Notes:© 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
    Subjects:Technology > Electrical engineering. Electronics Nuclear engineering > Production of electric energy or power
    Department:Faculty of Engineering > Electronic and Electrical Engineering
    Depositing user: Pure Administrator
    Date deposited:11 Jun 2024 15:01
    Last modified:11 Nov 2024 15:35
    URI:https://strathprints.strath.ac.uk/id/eprint/89549
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