TY - GEN
T1 - Achieving Fast Dynamic Response in Hybrid PWM Inverters Using a Low-Computational State Trajectory Prediction Algorithm Incorporating with Reduced-Order Switching Surfaces
AU - Lai, Jacky Chun-Tak
AU - Yeung, Shun-Cheung Ryan
AU - Chung, Henry Shu-Hung
PY - 2024
Y1 - 2024
N2 - This paper introduces a state trajectory prediction algorithm for H-bridge inverters using hybrid pulse-width modulation (h-PWM), which combines unipolar and bipolar switching schemes. By employing reduced switching surfaces, the proposed algorithm can predict the state trajectory for an entire switching cycle, enabling fast control and response. By sampling the state variable at the start of each switching cycle, the duty cycles of all switching devices can be established, and the operating frequency is twice the switching frequency, allowing to reduce the output filter component values and increase the power density. The algorithm has been tested on a 1 kVA prototype inverter, demonstrating its operating principles. The experimental results are in close agreement with the theoretical predictions. © 2024 IEEE.
AB - This paper introduces a state trajectory prediction algorithm for H-bridge inverters using hybrid pulse-width modulation (h-PWM), which combines unipolar and bipolar switching schemes. By employing reduced switching surfaces, the proposed algorithm can predict the state trajectory for an entire switching cycle, enabling fast control and response. By sampling the state variable at the start of each switching cycle, the duty cycles of all switching devices can be established, and the operating frequency is twice the switching frequency, allowing to reduce the output filter component values and increase the power density. The algorithm has been tested on a 1 kVA prototype inverter, demonstrating its operating principles. The experimental results are in close agreement with the theoretical predictions. © 2024 IEEE.
KW - DC-AC power conversion
KW - Hybrid pulsewidth modulation (PWM)
KW - Inverters
KW - parameter extraction
KW - trajectory prediction control
UR - http://www.scopus.com/inward/record.url?scp=85192708881&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85192708881&origin=recordpage
U2 - 10.1109/APEC48139.2024.10509404
DO - 10.1109/APEC48139.2024.10509404
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9798350316650
T3 - Conference Proceedings - IEEE Applied Power Electronics Conference and Exposition - APEC
SP - 2761
EP - 2768
BT - 2024 IEEE Applied Power Electronics Conference and Exposition, APEC 2024
PB - IEEE
T2 - 39th Annual IEEE Applied Power Electronics Conference and Exposition (APEC 2024)
Y2 - 25 February 2024 through 29 February 2024
ER -