A Control Algorithm to Reduce The Tower Fore-Aft Oscillations Of A Variable Speed and Pitch Controlled Horizontal Axis Wind Turbine

2022 ◽  
Author(s):  
Kumara Raja Eedara ◽  
Chandra S. Yerramalli
2020 ◽  
Author(s):  
Lorenzo Dambrosio

Abstract This paper deals with the control problem concerning the output voltage frequency and amplitude regulation of a wind system power plant not connected to the supply grid. The wind system configuration includes a horizontal-axis wind-turbine which drives a synchronous generator. An appropriate modeling approach has been adopted for both the wind-turbine and the synchronous generator. The proposed controller makes use of the fuzzy logic environment in order to take advantage of the wind plant system informations integrated into a limited number of equilibrium condition points (input variable - output variable pairs). The fuzzy logic controller described in the present paper merges the most appropriate fuzzy rules clusters, based on the steady state working conditions. Then, thanks to a Least Square Estimator algorithm, the proposed control algorithm evaluates, for each sample time, the linear relation between control law correction and control tracking error levels. In order to demonstrate robustness of the suggested fuzzy control algorithm, two sets of results have been provided: the first one consider a fuzzy base with equally spaced rules, whereas, in the second set results, the number of fuzzy rules is reduced by a 25%.


2018 ◽  
Vol 42 (2) ◽  
pp. 141-150
Author(s):  
Lorenzo Dambrosio

This article proposes an enhanced version of the one-step-ahead control algorithm applied to a wind system. The wind system is considered as an isolate source of power and it is composed of a horizontal-axis wind turbine connected to an induction generator: consistent mathematical models for the horizontal-axis wind turbine and the induction generator will be introduced. Although the main strength of the one-step-ahead control technique is its adaptivity, nevertheless its convergence rate reduces very quickly. This aspect shows the primary algorithm weakness and is the reason for the proposed enhancement. Finally, the results of control problems will prove the reliability of the suggested enhanced control technique.


Author(s):  
Essam E. Khalil ◽  
Gamal E. ElHarriri ◽  
Eslam E. AbdelGhany ◽  
Moemen E. Farghaly

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