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RISS 인기검색어
- 검색키워드
- 저자 : Jiajiang Sun (검색결과 2 건)
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Design of a fault-tolerant system for a multi-motor drive with multiple inverter leg faults
Song, Yujin,Zhao, Jin,Sun, Jiajiang The Korean Institute of Power Electronics 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.11
A novel fault-tolerant system for a multi-motor drive with one-leg, two-leg, and secondary faults is designed in this study. Fault tolerance is realized from pre-fault to post-fault via a topology reconstruction scheme and an integrated control law. The scheme develops a reconstructible topology and its reconstruction algorithm. The multi-motor drive can be reconstructed into appropriate tolerant topologies on the basis of the diagnosis results. The control law based on the predictive torque control method is universal under any topology by designing a unified voltage vector model and an optimal switching state decision. The proposed system can cope with more types of faults and effectively switch from a healthy state to a fault-tolerant state under any fault. The effectiveness and performance of the fault-tolerant system are verified and demonstrated by simulation and experiment results.
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Online condition monitoring for DC‑link capacitors of motor drives under noise interference
Qi Zhu,Jin Zhao,Yujin Song,Yang Zhou,Jiajiang Sun 전력전자학회 2022 JOURNAL OF POWER ELECTRONICS Vol.22 No.7
In this paper, a capacitance estimation method based on the recursive least squares (RLS) algorithm is proposed for the condition monitoring of the dc-link capacitors in motor drive systems. When a system is operating in the regenerative mode, the capacitance can be estimated online without the need for hardware modifications. The ratio of the current integral to the voltage increase is used to estimate the capacitance. In addition, the influences of the dead-time and pulse dropping on calculating current integral are analyzed. To deal with noise interference in voltage measurement, the RLS algorithm with outlier detection is used to achieve robust capacitance estimation. In view of the limited amount of data in the regenerative mode, the standard deviation of the error was estimated and a reasonable threshold was set according to the accuracy requirement to remove a part of the estimated value with a large error, which improves the reliability of the estimated results. Simulation and experimental results show the effectiveness of this method.
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