Real-time Diagnosis and Fault-tolerant Control of Grid-side Current Signal Anomaly in AC Traction System
In order to solve the problem of locomotive failure caused by the fault of grid-side grounding due to misinformation of grid-side current signal in the application of AC locomotive, a real-time diagnosis method for grid-side current signal anomalies based on multi-operating condition nonlinear model...
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| Main Authors: | , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Office of Control and Information Technology
2023-04-01
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| Series: | Kongzhi Yu Xinxi Jishu |
| Subjects: | |
| Online Access: | http://ctet.csrzic.com/thesisDetails#10.13889/j.issn.2096-5427.2023.02.016 |
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| Summary: | In order to solve the problem of locomotive failure caused by the fault of grid-side grounding due to misinformation of grid-side current signal in the application of AC locomotive, a real-time diagnosis method for grid-side current signal anomalies based on multi-operating condition nonlinear model is proposed in this paper. Firstly, based on the system mechanism and engineering design experience, the variables strongly related to grid-side current are extracted, and a multi-operating condition nonlinear estimation model of grid-side current is established. Secondly, based on the two redundant grid-side current signals of the traction drive system and the estimated value of the grid-side current, residual and detection statistics were designed, and the effective fault detection and decision-making of the two grid-side current signal anomalies are achieved by combining the CUSUM algorithm. Finally, different fault-tolerant control strategies are adopted according to the fault decision-making results to ensure the normal control and protection functions of the system. Field data tests show that the proposed diagnostic method achieves timely detection and precise positioning of grid-side anomalies 0.3 s after the occurrence of anomalies, avoiding the impact of on-site faults caused by grid-side signal anomalies. |
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| ISSN: | 2096-5427 |