Compound Disturbance Suppression Strategy for Steer-by-Wire System With Permanent Magnet Synchronous Motor

Compound disturbances in steer-by-wire (SbW) include non-periodic disturbances in the mechanical system and periodic torque ripple in the permanent magnet synchronous motor (PMSM). Compound disturbances lead to degradation of control accuracy and robustness, with repeated deviations in tracking accuracy. Moreover, according to the time-varying conditions of SbW, the frequency of periodic disturbances varies over time. To this end, this article proposes a compound disturbances suppression strategy that combines spatial domain iterative learning with forgetting factor (SILCFF) and extended state observer (ESO). ESO compensates the non-periodic disturbances to the non-singular fast terminal sliding mode control (NFTSMC) to track the steering angle and reduce the unknown disturbance boundaries. After disturbance compensation, the system is approximately linearized, making it more suitable for SILCFF designs. SILCFF solves the problem of time-varying iteration cycles caused by the variable speed conditions of SbW, which is difficult to handle by conventional time-domain iterative learning, and compensates for periodic torque ripple. The results indicate that SILCFF can effectively compensate for periodic torque ripple at time-varying frequencies. This strategy can ensure the SbW system has good dynamic steering angle tracking performance and robustness.

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Publication Details

Journal
IEEE Transactions on Transportation Electrification
Published
2024-09-19
DOI
https://doi.org/10.1109/tte.2024.3422227
Citations
9
Primary Topic
Magnetic Bearings and Levitation Dynamics
Type
article
Field-Weighted Citation Impact
2.95

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article

Compound Disturbance Suppression Strategy for Steer-by-Wire System With Permanent Magnet Synchronous Motor

Wanzhong Zhao, Haoyu Sun, Chunyan Wang
9 citations
IEEE Transactions on Transportation Electrification
Magnetic Bearings and Levitation Dynamics
2.95
article

Compound Disturbance Suppression Strategy for Steer-by-Wire System With Permanent Magnet Synchronous Motor

Wanzhong Zhao, Haoyu Sun, Chunyan Wang
article en
9 citations

Abstract

Compound disturbances in steer-by-wire (SbW) include non-periodic disturbances in the mechanical system and periodic torque ripple in the permanent magnet synchronous motor (PMSM). Compound disturbances lead to degradation of control accuracy and robustness, with repeated deviations in tracking accuracy. Moreover, according to the time-varying conditions of SbW, the frequency of periodic disturbances varies over time. To this end, this article proposes a compound disturbances suppression strategy that combines spatial domain iterative learning with forgetting factor (SILCFF) and extended state observer (ESO). ESO compensates the non-periodic disturbances to the non-singular fast terminal sliding mode control (NFTSMC) to track the steering angle and reduce the unknown disturbance boundaries. After disturbance compensation, the system is approximately linearized, making it more suitable for SILCFF designs. SILCFF solves the problem of time-varying iteration cycles caused by the variable speed conditions of SbW, which is difficult to handle by conventional time-domain iterative learning, and compensates for periodic torque ripple. The results indicate that SILCFF can effectively compensate for periodic torque ripple at time-varying frequencies. This strategy can ensure the SbW system has good dynamic steering angle tracking performance and robustness.

IEEE Transactions on Transportation ElectrificationVol. 11(1)
Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities
Affordable and clean energy
Openalex Percentile: Top 9%
Magnetic Bearings and Levitation Dynamics
2.95
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