Maximum Regenerative Power Braking for Interior Permanent Magnet Synchronous Motor

Choo, Kyoung-Min; Jeong, Won-Sang; Kim, Bum Joon; Park, Jung-Min; Lee, Jung-Hyo; Won, Chung-Yuen

doi:10.1109/itec-ap.2019.8903823

Cited by 3 publications

(1 citation statement)

References 4 publications

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“…By reversing current i q , magnetic resistance is applied to the loading motor under the action of reverse drag, and the process of simulating the load torque and inertia torque can be approximated as braking of the loading motor. At this stage, braking is classified into two categories, namely energy feedback and energy consumption braking [19][20][21][22]. The experimental results revealed that when the loading motor enters the energy consumption braking state, the additional energy consumption causes the driver that is coupled directly with the loading motor to produce undervoltage because of the braking state.…”

Section: Introductionmentioning

confidence: 99%

A Dynamic Load Simulation Algorithm Based on an Inertia Simulation Predictive Model

Lin

Wang

et al. 2022

Applied Sciences

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In this study, an electric dynamic load simulation system (EDLSS) algorithm was proposed based on an inertia simulation predictive model to mitigate strong-coupling torque disturbance and load torque fluctuation caused by the change in the motion state of a bearing system. First, the inertia simulation model was proposed by combining the dynamic equations of both the EDLSS and the target system. The aforementioned inertia simulation model converted the conventional realisation method of the inertia simulation into the tracking of the motion characteristics for the target system under the same working conditions. Next, based on the aforementioned inertia simulation model while considering the strong-coupling torque effect and motor braking state disturbance as two influential factors, an inertia simulation predictive model and a load simulation algorithm were proposed. The predicted speed calculated by the predictive model was consistent with the dynamic characteristics of the target system under the same working conditions and input into the control loop. Based on the analysis of the braking state and power model of the permanent magnet synchronous motor, an energy feedback control method was proposed to improve EDLSS stability caused by the braking state of the loading motor. Finally, the experimental data revealed that the maximum speed fluctuation range of the loading motor was approximately 7.5, which was 84% lower than the range before the application of the aforementioned algorithm, which was about 46.8. Furthermore, the maximum range of the torque ripple was close to 1.5, which was 75% lower than before, which was roughly 6. All experimental data were consistent with simulation data.

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Section: Introductionmentioning

confidence: 99%