Open AccessSensorless predictive current control with a charge balance current estimator for boost converters based on discrete‐time model considering current ripple
Author(s) -
Chen Chen,
Tong Qiaoling,
Min Run,
Zhang Qiao,
Zou Xuecheng,
Liu Zhenglin
Publication year - 2018
Publication title -
iet power electronics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.637
H-Index - 77
eISSN - 1755-4543
pISSN - 1755-4535
DOI - 10.1049/iet-pel.2018.5051
Subject(s) - ripple , inductor , estimator , control theory (sociology) , capacitor , current (fluid) , converters , boost converter , equivalent series resistance , model predictive control , constant current , voltage , electronic engineering , computer science , engineering , mathematics , electrical engineering , control (management) , statistics , artificial intelligence
The performance of a sensorless predictive current controlled boost converter is usually susceptible to the accuracy of the employed converter and current estimator models. Since the accuracy of conventional current estimator would be degraded due to parasitic parameter variations, a charge balance current estimator (CBCE) is proposed to overcome this issue. Its estimation of peak inductor current is based on the charge balance principle of output capacitor and characteristics of inductor current ripple. Only one parasitic parameter – capacitor equivalent series resistance (ESR) is used in CBCE. Furthermore, the capacitor ESR is also estimated together with output load by a proposed equivalent load estimation scheme which can improve the current estimation accuracy. Besides, to achieve a high dynamic performance digital control, a discrete‐time model considering current ripple is developed, in which the ripple is taken into account rather than treats inductor current as a constant in each switching cycle. It can achieve a higher accuracy than conventional averaged model, especially in the high‐frequency region. Finally, its effectiveness is verified by simulation and experiment results.