Learning Algorithm-Based Offset-Free One-Step Time-Delay Compensation for Power Converter and Motor Drive System Applications

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초록

In this article, we deal with the one-step time-delay problem in power converter and motor drive system applications implemented by the digital signal processor. For these wide applications, a novel one-step time-delay compensation algorithm is proposed, comprising a standard Luenberger-type observer including a learning algorithm and disturbance observer (DOB). The first novelty is to suggest the learning algorithm automatically determining the observer feedback gains according to the estimation error magnitude. The second is to introduce DOBs with estimation error integrators for removing the steady-state estimation errors, removing the additional adaptive and nonlinear damping compensation terms. The closed-loop observer behaviors are rigorously analyzed to present useful properties. The experimental data obtained using a 3-kW prototype dc-dc boost converter validates the effectiveness of the proposed algorithm.

키워드

ObserversEstimation errorDelay effectsMotor drivesConvergenceHeuristic algorithmsInformaticsDisturbance observer (DOB)learning algorithmone-step time delayobserverstability analysisMODEL-PREDICTIVE CONTROLPWM RECTIFIERVOLTAGE
제목
Learning Algorithm-Based Offset-Free One-Step Time-Delay Compensation for Power Converter and Motor Drive System Applications
저자
Kim, Seok-KyoonAhn, Choon Ki
DOI
10.1109/TII.2019.2939656
발행일
2020-06
유형
Article
저널명
IEEE Transactions on Industrial Informatics
16
6
페이지
3789 ~ 3796