A time-varying extremum-seeking control approach

Automatica ◽  
2015 ◽  
Vol 51 ◽  
pp. 356-363 ◽  
Author(s):  
Martin Guay ◽  
Denis Dochain
Keyword(s):  
Extremum Seeking ◽  
Time Varying ◽  
Extremum Seeking Control ◽  
Control Approach

scholarly journals Extremum-Seeking Control Approach Based on the Influent Variability for Anaerobic Digestion Optimization

2017 ◽  
Vol 50 (1) ◽  
pp. 12623-12628 ◽  
Author(s):  
Marian Barbu ◽  
Emil Ceangă ◽  
Ramon Vilanova ◽  
Sergiu Caraman ◽  
George Ifrim
Keyword(s):  
Anaerobic Digestion ◽  
Extremum Seeking ◽  
Extremum Seeking Control ◽  
Control Approach

scholarly journals Adaptive Extremum Seeking Control of Urban Area Wind Turbines

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1356
Author(s):  
Felix Dietrich ◽  
Steffen Borchers-Tigasson ◽  
Till Naumann ◽  
Horst Schulte
Keyword(s):  
Wind Turbine ◽  
Wind Turbines ◽  
Urban Areas ◽  
Extremum Seeking ◽  
Computationally Efficient ◽  
Extremum Seeking Control ◽  
Control Approach ◽  
Point Tracking ◽  
Control Scheme ◽  
Simple Step

Maximum-power point tracking of wind turbines is a challenging issue considering fast changing wind conditions of urban areas. For this purpose, an adaptive control approach that is fast and robust is required. Conventional approaches based on simple step perturbations and subsequent observation, however, are difficult to design and too slow for the demanding wind conditions of urban areas including gusts and turbulence. In this paper, an extremum seeking control scheme to the recently developed wind turbine MOWEA (Modulare Windenergieanlagen GmbH) is proposed and successfully applied. To this end, a comprehensive aero-electromechanical model of the wind turbine under study including basic control is formulated. Next, the extremum seeking control scheme is adapted to the system. Several aspects to increase adaptation speed are highlighted, including a novel phase compensation. Finally, a validation of the proposed approach is performed considering real wind data, thus demonstrating its fast and robust adaptability. The proposed control scheme is computationally efficient and can be easily implemented on the existing onboard electronics.

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