Multivariable Control of Solar Battery Power by Extremum Seeking with Hessian-driven Gradient Flows

2021 ◽  
Author(s):  
A.Yu. Sologubov ◽  
I.M. Kirpichnikova
Keyword(s):  
Extremum Seeking ◽  
Multivariable Control ◽  
Gradient Flows ◽  
Battery Power ◽  
Solar Battery

scholarly journals From room to roof: How feasible is direct coupling of solar-battery power unit under variable irradiance?

Solar Energy ◽  
2020 ◽  
Vol 206 ◽  
pp. 732-740 ◽  
Author(s):  
Oleksandr Astakhov ◽  
Tsvetelina Merdzhanova ◽  
Li-Chung Kin ◽  
Uwe Rau
Keyword(s):  
Power Unit ◽  
Direct Coupling ◽  
Battery Power ◽  
Solar Battery

scholarly journals MULTIVARIABLE CONTROL OF SOLAR BATTERY POWER: ELECTROTECHNICAL COMPLEX AS OBJECT WITH HESSIAN-DRIVEN GRADIENT FLOWS

2021 ◽  
Vol 21 (3) ◽  
pp. 57-65
Author(s):  
A. Sologubov ◽  
◽  
I. Kirpichnikova
Keyword(s):  
Initial Conditions ◽  
Small Neighborhood ◽  
Extremum Seeking ◽  
Transient Processes ◽  
Gradient Flows ◽  
Compact Sets ◽  
Tuning Parameters ◽  
Solar Tracking ◽  
Urgent Task ◽  
The Cost

The paper presents certain development results for the novel extremum seeking controller based on Nesterov’s gradient flows for solar tracking systems. It achieves convergence to an arbitrarily small neighborhood of the set of the cost function optimizers. Our results evident ate that for arbitrarily large compact sets of initial conditions, and arbitrarily small neighborhoods of the optimizer, the controller can be tuned to guarantee convergence taking into account the influence of the Hessian, as well as with tuning parameters that have a fairly clear physical meaning. The influence of the Hessian as a vector field, which is a reflection of the distortion of transient processes in the system, and taking it into account is an urgent task, since it allows for a more flexible impact on the speed of transient processes, and by endowing the system with some damping and smoothing, also for its improved quality.

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