Control Analysis of Active Dynamic Filtering Systems for Electrical Power Application
(2024)Department of Automatic Control
- Abstract
- This thesis investigates the behaviour of an active dynamic filtering (ADF) system connected to an unknown electrical grid and suggests how to use control theory to reach desired requirements. The ADF system, which is based on a product by Comsys AB, consists of a PI controller and a low pass filter.
The main part of this work was focused on developing methods for system identification by finding transfer functions between available signals utilising a grey box model approach. Different validation techniques were applied to gain trust in the model as well as the estimated transfer functions. By reworking the model and by using the estimated transfer functions, the electrical circuit could be reformulated as a block diagram to facilitate... (More) - This thesis investigates the behaviour of an active dynamic filtering (ADF) system connected to an unknown electrical grid and suggests how to use control theory to reach desired requirements. The ADF system, which is based on a product by Comsys AB, consists of a PI controller and a low pass filter.
The main part of this work was focused on developing methods for system identification by finding transfer functions between available signals utilising a grey box model approach. Different validation techniques were applied to gain trust in the model as well as the estimated transfer functions. By reworking the model and by using the estimated transfer functions, the electrical circuit could be reformulated as a block diagram to facilitate the use of standard control analysis. Methods of tuning the PI controller parameters to reach a certain bandwidth while keeping stable margins were presented. It was concluded that the resonances in the open loop transfer function had to be counteracted. Therefore, filter designs to compensate for this behaviour were also investigated and presented. Finally, a number of future developments were presented.
In conclusion, the method of estimating the transfer functions, yielding the system identification, is shown to be sufficient. Thus, the system behaviour can be understood and can be altered to achieve different requirements through control parameter tuning and filters. Future research could expand this work by applying this workflow on more realistic systems. (Less)
Please use this url to cite or link to this publication:
http://lup.lub.lu.se/student-papers/record/9173504
- author
- Rosenbäck, Max and Salehi, Frida
- supervisor
- organization
- year
- 2024
- type
- H3 - Professional qualifications (4 Years - )
- subject
- report number
- TFRT-6234
- other publication id
- 0280-5316
- language
- English
- id
- 9173504
- date added to LUP
- 2024-09-09 09:20:23
- date last changed
- 2024-09-09 09:20:23
@misc{9173504,
abstract = {{This thesis investigates the behaviour of an active dynamic filtering (ADF) system connected to an unknown electrical grid and suggests how to use control theory to reach desired requirements. The ADF system, which is based on a product by Comsys AB, consists of a PI controller and a low pass filter.
The main part of this work was focused on developing methods for system identification by finding transfer functions between available signals utilising a grey box model approach. Different validation techniques were applied to gain trust in the model as well as the estimated transfer functions. By reworking the model and by using the estimated transfer functions, the electrical circuit could be reformulated as a block diagram to facilitate the use of standard control analysis. Methods of tuning the PI controller parameters to reach a certain bandwidth while keeping stable margins were presented. It was concluded that the resonances in the open loop transfer function had to be counteracted. Therefore, filter designs to compensate for this behaviour were also investigated and presented. Finally, a number of future developments were presented.
In conclusion, the method of estimating the transfer functions, yielding the system identification, is shown to be sufficient. Thus, the system behaviour can be understood and can be altered to achieve different requirements through control parameter tuning and filters. Future research could expand this work by applying this workflow on more realistic systems.}},
author = {{Rosenbäck, Max and Salehi, Frida}},
language = {{eng}},
note = {{Student Paper}},
title = {{Control Analysis of Active Dynamic Filtering Systems for Electrical Power Application}},
year = {{2024}},
}