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A Quasi-Resonant Extended State Observer-Based Predictive Current Control Strategy for Three-Phase PWM Rectifier

Xiaowei Yang, Haitao Hu, Hai Hu, Yunjiang Liu, Zhengyou He

2021IEEE Transactions on Industrial Electronics55 citationsDOI

Abstract

In this letter, a quasi-resonant extended state observer-based predictive current control (QRESO-based PCC) strategy is proposed for three-phase pulse width modulation (PWM) rectifier. Specifically, the QRESO is utilized to estimate the predictive value of system total disturbance and grid current at time instant <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">k</i> +1 in the stationary <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">αβ</i> frame, and the required control input at time instant <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">k</i> +1 is then calculated based on the principle of deadbeat predictive control. The proposed control scheme can achieve robust control against to the electrical parameter variation, accommodate the measurement noise, and also assure the satisfactory steady-state and dynamic performance for the PWM rectifier. Besides, the stability analysis of QRESO and the whole current close-loop control system with the consideration of QRESO in the discrete-time domain are presented. Finally, several hardware-in-the-loop test results of the proposed control strategy are provided and compared with the model free predictive current control based on linear extended state observer and the generalized integrator-extended state observer-based PCC strategy, which validate the effectiveness and superiority of proposed QRESO-based PCC strategy.

Topics & Concepts

Control theory (sociology)PWM rectifierModel predictive controlIntegratorPulse-width modulationComputer scienceObserver (physics)State observerStationary Reference FrameRectifier (neural networks)Control (management)EngineeringArtificial intelligencePhysicsVoltageBandwidth (computing)TelecommunicationsArtificial neural networkStochastic neural networkQuantum mechanicsElectrical engineeringInduction motorNonlinear systemRecurrent neural networkMultilevel Inverters and ConvertersMicrogrid Control and OptimizationAdvanced DC-DC Converters
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