Abstract
In this paper, an autonomous tuning method is proposed to realize optimal adaptive voltage positioning (AVP) scheme for the buck converter. The optimal AVP scheme can perform linearly fast transient response with less output capacitors compared to the traditional buck converter. The conventional wisdom of realizing the optimal AVP is to make the current sensing resistor (R i) equal to the equivalent series resistor (Rc) of the output capacitor. However, such approach usually requires on-line system-identification algorithms or sensors that are complex and costly. Alternatively, this paper proposes a novel approach to implement the optimal AVP using a linear transition approximation (LTA) algorithm. Without using any parameter identification technique, the LTA algorithm only observes the output voltage response to adaptively adjust controller for realizing optimal linear transition during transient. The result of the proposed approach is very close to the effect of approximating Ri to Rc for an optimal AVP scheme. A buck converter using a FPGA controller that embeds the proposed algorithm is implemented. Experiment results show that the linear transient response is achieved in response to a 1-5 A step load change within 20μs. A comparative result also shows that the optimal AVP performance is superior to the case without using the proposed algorithm.
| Original language | English |
|---|---|
| Title of host publication | 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2449-2452 |
| Number of pages | 4 |
| ISBN (Print) | 9781479934324 |
| DOIs | |
| Publication status | Published - 2014 Jan 1 |
| Event | 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 - Melbourne, VIC, Australia Duration: 2014 Jun 1 → 2014 Jun 5 |
Publication series
| Name | Proceedings - IEEE International Symposium on Circuits and Systems |
|---|---|
| ISSN (Print) | 0271-4310 |
Other
| Other | 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014 |
|---|---|
| Country | Australia |
| City | Melbourne, VIC |
| Period | 14-06-01 → 14-06-05 |
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All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
Cite this
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Autonomous tuning method for realizing optimal adaptive voltage positioning scheme. / Liu, Chih Wei; Chang-Chien, Le Ren.
2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 2449-2452 6865668 (Proceedings - IEEE International Symposium on Circuits and Systems).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Autonomous tuning method for realizing optimal adaptive voltage positioning scheme
AU - Liu, Chih Wei
AU - Chang-Chien, Le Ren
PY - 2014/1/1
Y1 - 2014/1/1
N2 - In this paper, an autonomous tuning method is proposed to realize optimal adaptive voltage positioning (AVP) scheme for the buck converter. The optimal AVP scheme can perform linearly fast transient response with less output capacitors compared to the traditional buck converter. The conventional wisdom of realizing the optimal AVP is to make the current sensing resistor (R i) equal to the equivalent series resistor (Rc) of the output capacitor. However, such approach usually requires on-line system-identification algorithms or sensors that are complex and costly. Alternatively, this paper proposes a novel approach to implement the optimal AVP using a linear transition approximation (LTA) algorithm. Without using any parameter identification technique, the LTA algorithm only observes the output voltage response to adaptively adjust controller for realizing optimal linear transition during transient. The result of the proposed approach is very close to the effect of approximating Ri to Rc for an optimal AVP scheme. A buck converter using a FPGA controller that embeds the proposed algorithm is implemented. Experiment results show that the linear transient response is achieved in response to a 1-5 A step load change within 20μs. A comparative result also shows that the optimal AVP performance is superior to the case without using the proposed algorithm.
AB - In this paper, an autonomous tuning method is proposed to realize optimal adaptive voltage positioning (AVP) scheme for the buck converter. The optimal AVP scheme can perform linearly fast transient response with less output capacitors compared to the traditional buck converter. The conventional wisdom of realizing the optimal AVP is to make the current sensing resistor (R i) equal to the equivalent series resistor (Rc) of the output capacitor. However, such approach usually requires on-line system-identification algorithms or sensors that are complex and costly. Alternatively, this paper proposes a novel approach to implement the optimal AVP using a linear transition approximation (LTA) algorithm. Without using any parameter identification technique, the LTA algorithm only observes the output voltage response to adaptively adjust controller for realizing optimal linear transition during transient. The result of the proposed approach is very close to the effect of approximating Ri to Rc for an optimal AVP scheme. A buck converter using a FPGA controller that embeds the proposed algorithm is implemented. Experiment results show that the linear transient response is achieved in response to a 1-5 A step load change within 20μs. A comparative result also shows that the optimal AVP performance is superior to the case without using the proposed algorithm.
UR - http://www.scopus.com/inward/record.url?scp=84907405838&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84907405838&partnerID=8YFLogxK
U2 - 10.1109/ISCAS.2014.6865668
DO - 10.1109/ISCAS.2014.6865668
M3 - Conference contribution
AN - SCOPUS:84907405838
SN - 9781479934324
T3 - Proceedings - IEEE International Symposium on Circuits and Systems
SP - 2449
EP - 2452
BT - 2014 IEEE International Symposium on Circuits and Systems, ISCAS 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -