This article presents an original methodology for the multi-objective optimization of Continuously Variable Transmission (CVT) for a wind turbine (WT). The objective functions of this optimization problem are to minimize the weight and maximize efficiency. This methodology also considers the variations of parameters caused by different factors (manufacturing tolerance, uncertainties in the operating conditions). Using a probabilistic model, the proposed algorithm combines a propagation of uncertainties and an optimization of the function objectives. The optimization is performed using the Non-dominated Sorting Genetic Algorithm (NSGA-II) with the advantage of exploring the global design space and finding the best compromise between the objectives. In order to verify the solution obtained by this approach, results were compared to the ones obtained by a previous study.
Multi-objective Optimization under Uncertainty of a Continuously Variable Transmission for a 1.5 MW Wind Turbine
Sae Int. J. Mater. Manf
Sae International Journal of Materials and Manufacturing
Sae International Journal of Materials and Manufacturing ; 15 , 4 ; 407-419
2022-08-02
13 pages
Aufsatz (Konferenz)
Englisch
Multi-Objective Optimization Under Uncertainty
AIAA | 2015
|Multi-pass continuously variable transmission
Kraftfahrwesen | 1990
|Wind Turbine Design Optimization Under Environmental Uncertainty
Online Contents | 2016
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