Robustness and averaging properties of a large-amplitude, high-frequency extremum seeking control scheme

Automatica ◽  
2022 ◽  
Vol 136 ◽  
pp. 110020
Author(s):  
Raik Suttner ◽  
Sergey Dashkovskiy
Keyword(s):  
High Frequency ◽  
Large Amplitude ◽  
Extremum Seeking ◽  
Extremum Seeking Control ◽  
Control Scheme

Two-level control of photovoltaic systems using global perturbation-based extremum seeking control and model reference adaptive control

2017 ◽  
Vol 40 (13) ◽  
pp. 3709-3720 ◽  
Author(s):  
Reza Dadkhah Tehrani ◽  
Faridoon Shabaninia
Keyword(s):  
Adaptive Control ◽  
Model Reference Adaptive Control ◽  
Extremum Seeking ◽  
Global Maximum ◽  
Maximum Power Point ◽  
Extremum Seeking Control ◽  
Pv Systems ◽  
Control Scheme ◽  
Power Point ◽  
Model Reference Adaptive

One of the main renewable energy sources for the future is photovoltaic (PV) energy. Hence, working of the PV systems at maximum efficiency is taken into consideration in recent years. In this paper, for improving the performance of the global maximum power point tracking under partial shading conditions and uncertainty in parameters of DC-DC converter, a two-level adaptive control scheme is proposed. The proposed controller is capable of efficiently handling the uncertainties in the PV systems and the perturbations in the environment. The first level is global perturbation-based extremum seeking control (GPESC), and the second level is model reference adaptive control (MRAC). GPESC is used to find global maximum power point and MRAC is utilized to handle the dynamics of the DC-DC converter. Adequate difference in the time constants of control levels, causes decoupled control levels, which in turn makes it easy to design the controller. The performance of the proposed control scheme is evaluated through simulation based on four indicators: tracking accuracy, tracking efficiency, tracking speed and searching resolution for different irradiance patterns. The results are compared with GPESC and GPESC with PID controller.

Designing and modelling of the asymptotic perturbed extremum seeking control scheme for tracking the global extreme

2017 ◽  
Vol 42 (28) ◽  
pp. 17632-17644 ◽  
Author(s):  
Nicu Bizon ◽  
Phatiphat Thounthong ◽  
Marian Raducu ◽  
Luminita M. Constantinescu
Keyword(s):  
Extremum Seeking ◽  
Extremum Seeking Control ◽  
Control Scheme

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.

A switching-based extremum seeking control scheme

2016 ◽  
Vol 90 (8) ◽  
pp. 1688-1702 ◽  
Author(s):  
Songlin Chen ◽  
Libin Wang ◽  
Kemao Ma ◽  
Hui Zhao
Keyword(s):  
Extremum Seeking ◽  
Extremum Seeking Control ◽  
Control Scheme
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