ATO Controller for High-speed Train Based on Model-Free Adaptive Control
In view of the problems of dynamic model mismatch of traditional controller and potential safety hazards of driver operation when the high-speed train operated in a changeable and complex environment, a high speed train automatic driving controller design scheme based on model-free adaptive control...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Electric Drive for Locomotives
2021-07-01
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| Series: | 机车电传动 |
| Subjects: | |
| Online Access: | http://edl.csrzic.com/thesisDetails#10.13890/j.issn.1000-128x.2021.04.019 |
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| Summary: | In view of the problems of dynamic model mismatch of traditional controller and potential safety hazards of driver operation when the high-speed train operated in a changeable and complex environment, a high speed train automatic driving controller design scheme based on model-free adaptive control (MFAC) was proposed. Firstly, a full-format dynamic data train model to transfer the nonlinear characteristics of the train to the pseudo gradient was constructed; Secondly, according to the full-format dynamic data train model,the model-free adaptive control law and the train control principle were designed, and with the pseudo gradient estimated through the train operation data, the ATO controller was constructed; Finally, "Lanzhouxi-Xining" EMU operating data was used for simulation. The result shows that: speed tracking error under the action of the MFAC controller is 0.254 km/h, and the train acceleration impact rate is mainly distributed in [0, 0.1), accounting for about 83.8% of the total step length. By compared with fuzzy adaptive PID (proportion-integral-derivative)in terms of speed tracking, displacement tracking, and comfort, the performance of the proposed controller is proved better. |
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| ISSN: | 1000-128X |