TY - JOUR
T1 - Self-Tuning Proportional-Type Performance Recovery Property Output Voltage-Tracking Algorithm for DC-DC Boost Converter
AU - Kim, Seok Kyoon
AU - Ahn, Choon Ki
N1 - Funding Information:
Manuscript received December 18, 2017; revised March 5, 2018, April 19, 2018, and May 15, 2018; accepted June 5, 2018. Date of publication June 29, 2018; date of current version November 30, 2018. This research was supported in part by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education under Grant 2017R1C1B5074256, in part by the National Research Foundation of Korea through the Ministry of Science, ICT and Future Planning under Grant NRF-2017R1A1A1A05001325, and in part by the Brain Korea 21 Plus Project in 2018. (Corresponding author: Choon Ki Ahn.) S.-K. Kim is with the Department of Creative Convergence Engineering, Hanbat National University, Daejeon 341-58, South Korea (e-mail: lotus45kr@gmail.com).
Publisher Copyright:
© 2018 IEEE.
PY - 2019/4
Y1 - 2019/4
N2 - This article exhibits an output voltage-tracking control algorithm incorporating a self-tuning algorithm and disturbance observers (DOBs) for dc-dc boost converters without tracking error integrators, considering model nonlinearities, parameter variations, and load uncertainties. The proposed algorithm is designed such that it forces the output voltage to track its target trajectory driven by a time-varying low-pass filter (LPF), despite model-plant mismatches. This paper makes two main contributions. First, it constructs the self-tuning algorithm by updating the closed-loop cut-off frequency in the time-varying LPF to improve the transient tracking performance. Second, it embeds first-order DOBs in the proportional-type nonlinear controller to achieve both performance recovery and the offset-free properties. The experimental verifications are carried out to illustrate the effectiveness of the closed-loop system driven by the proposed technique with a 3-kW prototype dc-dc boost converter; the 46% improvement of the tracking performance is observed, compared with the conventional feedback-linearization controller.
AB - This article exhibits an output voltage-tracking control algorithm incorporating a self-tuning algorithm and disturbance observers (DOBs) for dc-dc boost converters without tracking error integrators, considering model nonlinearities, parameter variations, and load uncertainties. The proposed algorithm is designed such that it forces the output voltage to track its target trajectory driven by a time-varying low-pass filter (LPF), despite model-plant mismatches. This paper makes two main contributions. First, it constructs the self-tuning algorithm by updating the closed-loop cut-off frequency in the time-varying LPF to improve the transient tracking performance. Second, it embeds first-order DOBs in the proportional-type nonlinear controller to achieve both performance recovery and the offset-free properties. The experimental verifications are carried out to illustrate the effectiveness of the closed-loop system driven by the proposed technique with a 3-kW prototype dc-dc boost converter; the 46% improvement of the tracking performance is observed, compared with the conventional feedback-linearization controller.
KW - Boost-type DC-DC converter
KW - disturbance observer (DOB)
KW - output voltage tracking
KW - self-tuning algorithm
UR - http://www.scopus.com/inward/record.url?scp=85049310923&partnerID=8YFLogxK
U2 - 10.1109/TIE.2018.2849982
DO - 10.1109/TIE.2018.2849982
M3 - Article
AN - SCOPUS:85049310923
SN - 0278-0046
VL - 66
SP - 3167
EP - 3175
JO - IEEE Transactions on Industrial Electronics
JF - IEEE Transactions on Industrial Electronics
IS - 4
M1 - 8400586
ER -