Abstract
Aiming at the problem that the current sharing output performance of the parallel DC-DC converter network control system (NCS) is poor due to the inability to process lengthy signals in time, a uniform quantization design method of NCS is proposed based on sliding mode control (SMC) strategy. Taking the parallel buck converter as an example, the SM control system was designed first. Then the NCS with the SMC was designed by uniform quantization in the continuous domain, and the stability of the system was analyzed according to the quantization error. Considering the application of the parallel buck converter in practical digital control system, the discretization effect of uniform quantization SMC system was studied by using the zero-order hold and the stability conditions were given. Finally, simulations were used to analyze the output performance of the system under different parameters in the continuous and discrete domain, and it shows that the output performance of the system is optimal when the quantization step size and sampling time are 0. 1 and 0. 1 ms, respectively. Further experiments under the optimal parameters show that the designed uniform quantization SMC system can control the steady-state error of output voltage and equalizing current of parallel buck converter within 0. 117 V and 0. 008 A, respectively, which verifies the correctness of this paper.
| Translated title of the contribution | Research on signal quantization of parallel DC-DC converter network control system |
|---|---|
| Original language | Chinese (Traditional) |
| Pages (from-to) | 1-12 |
| Number of pages | 12 |
| Journal | Dianji yu Kongzhi Xuebao/Electric Machines and Control |
| Volume | 27 |
| Issue number | 10 |
| DOIs | |
| State | Published - Oct 2023 |
| Externally published | Yes |
Fingerprint
Dive into the research topics of 'Research on signal quantization of parallel DC-DC converter network control system'. Together they form a unique fingerprint.Cite this
- APA
- Author
- BIBTEX
- Harvard
- Standard
- RIS
- Vancouver