Open AccessHybrid iterative learning control strategy for single‐phase UPS inverter using inductor current active damping
Author(s) -
Singh Santosh Kumar,
Ghatak Choudhuri Sumit
Publication year - 2018
Publication title -
the journal of engineering
Language(s) - English
Resource type - Journals
ISSN - 2051-3305
DOI - 10.1049/joe.2017.0544
Subject(s) - control theory (sociology) , uninterruptible power supply , inverter , transient (computer programming) , inductor , controller (irrigation) , computer science , transient state , steady state (chemistry) , three phase , voltage , engineering , control (management) , agronomy , chemistry , artificial intelligence , electrical engineering , biology , operating system
This study proposes a hybrid iterative learning (HIL) control scheme for single‐phase uninterruptible power supply (UPS) inverters using inductor current active damping technique. A UPS inverter maintains a tightly regulated output voltage independent of loading conditions and disturbances. To achieve such performance, a fast transient recovery time with a minimum steady‐state error is desired. Fast control techniques, such as proportional integral (PI), are not always known for good steady‐state performance in single‐phase applications. As the load voltage and current are periodic, therefore a hybrid control strategy has been proposed in which a PI controller is combined with an iterative learning controller to produce better transient and steady‐state dynamics. Adoption of such a strategy enables the UPS inverter control to be realised with one voltage and one current sensor, respectively. System modelling, filter magnitude‐frequency characteristics shaping and control design with stability analysis have been presented in this study. The designed HIL control strategy is examined through simulations in a MATLAB environment in the discrete time frame and experimentally verified for a single‐phase UPS inverter system prototype using a Texas TMS320F2812 digital signal processor.