A Disturbance Rejection-Based Control Strategy for Five-Level T-Type Hybrid Power Converters With Ripple Voltage Estimation Capability

This article proposes a robust control strategy for five-level T-type (5L-T) hybrid power converters to achieve superior dynamic performance for effectively regulating the dc-bus voltage under external disturbances and generating high-quality grid current at the same time. A new filter-less dc-bus r...

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Bibliographic Details
Published in:IEEE transactions on industrial electronics (1982) 2020-09, Vol.67 (9), p.7364-7374
Main Authors: Khan, Shakil Ahamed, Guo, Youguang, Siwakoti, Yam Prasad, Lu, Dylan Dah-Chuan, Zhu, Jianguo
Format: Article
Language:English
Subjects:
Algorithms
Capacitors
Control algorithms
Control theory
Controllers
Current measurement
Data buses
Disturbance rejection
Electric potential
finite control set-model predictive control (FCS-MPC)
Hybrid power systems
Load fluctuation
Power converters
power quality
Predictive control
Rejection
ripple voltage
Ripples
Robust control
single-phase
Sliding mode control
State observers
Steady-state
Tracking control
Transient analysis
Voltage
Voltage control
Voltage measurement
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Summary:This article proposes a robust control strategy for five-level T-type (5L-T) hybrid power converters to achieve superior dynamic performance for effectively regulating the dc-bus voltage under external disturbances and generating high-quality grid current at the same time. A new filter-less dc-bus ripple voltage estimation method and a simple technique to remove this ripple component from the measured dc-bus voltage of a single-phase converter are developed. A sliding-mode control (SMC) incorporated with an extended-state observer (ESO) is employed for the outer voltage control loop, and to dynamically calculate the input (i.e., the active power reference) for the inner current-tracking controller. The proposed SMC-ESO approach presents a high disturbance rejection capability and robustness against the dc-bus load variation, and thus, significantly improves the dynamic and steady-state performance during system uncertainties. Moreover, a finite control set-model predictive control algorithm is derived as the inner current controller to track their references while balancing the dc-bus capacitor voltages. The effectiveness of the proposed controller is demonstrated and verified through measurement results.
ISSN:0278-0046
1557-9948
DOI:10.1109/TIE.2019.2942550