EconPapers    
Economics at your fingertips  
 

Sampling Rate and Performance of DC/AC Inverters with Digital PID Control—A Case Study

Marian Blachuta, Robert Bieda and Rafal Grygiel
Additional contact information
Marian Blachuta: Department of Automatic Control and Robotics, Silesian University of Technology, 16 Akademicka Str., 44-100 Gliwice, Poland
Robert Bieda: Department of Automatic Control and Robotics, Silesian University of Technology, 16 Akademicka Str., 44-100 Gliwice, Poland
Rafal Grygiel: Department of Automatic Control and Robotics, Silesian University of Technology, 16 Akademicka Str., 44-100 Gliwice, Poland

Energies, 2021, vol. 14, issue 16, 1-22

Abstract: The huge influence of the sampling rate on the performance of the digital PID control of a voltage source inverter (VSI) is revealed. It is shown that an appropriately chosen continuous-time model of a digital controller with the PWM power converter behaves like the actual discrete-time system, which allows for a simple controller analysis and design. The variable structure nature of the inverter with both the RC rectifier and an abruptly changing resistive load with two modes of operation within the sampling period is directly taken into account. Two simulation models, a discrete-time PWM and a continuous-time, of an inverter are presented, which are used to tune the PID controller and to evaluate the control performance. The behavior of the system in both modes is explained on the basis of the root loci and frequency characteristics. The results obtained for three sampling rates: 12.8, 25.6, and 51.2 kHz, are presented and compared with an actual VSI experiment. A comparison with other results obtained for this VSI shows that properly tuned PID control outperforms the more sophisticated solutions based on the coefficient diagram method (CDM) and the passivity based control (PBC).

Keywords: VSI; PID control; PWM; carrier frequency; variable structure; THD; performance evaluation; modeling; simulation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/16/5170/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/16/5170/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:16:p:5170-:d:618831

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().

 
Page updated 2025-03-19
Handle: RePEc:gam:jeners:v:14:y:2021:i:16:p:5170-:d:618831