التفاصيل البيبلوغرافية
| العنوان: |
Energy-optimal control of intelligent track inspection trains: design and experiment. |
| المؤلفون: |
Zhao, Xinxin1 (AUTHOR) xinxinzhao@ustb.edu.cn, Guo, Xu2 (AUTHOR), Azad, Nasser L.3 (AUTHOR), Yang, Jue4 (AUTHOR) |
| المصدر: |
Transport. Dec2024, Vol. 177 Issue 7, p563-576. 14p. |
| مصطلحات موضوعية: |
*ENERGY conservation, *ENERGY consumption, CONSTRAINED optimization, INTELLIGENT control systems, PREDICTION models |
| مستخلص: |
A new energy-efficient control strategy for intelligent track inspection trains (ITITs) was developed and its effectiveness evaluated. A sufficiently simple state-space model for a real ITIT is introduced in this paper. This model was used to formulate and solve a constrained optimisation problem to determine the vehicle's optimal speed profile using the pseudo-spectral method to achieve the highest energy savings. A model predictive control (MPC) scheme was then used to create a controller to follow the resulting optimal speed trajectory as closely as possible. The results obtained from co-simulation between a high-fidelity model of the ITIT built within the Amesim software program and the MPC scheme developed in the Matlab/Simulink software environment showed that the optimal speed trajectory was tracked very well when the MPC scheme was applied to the vehicle's high-fidelity model. During the co-simulations, the energy consumption in terms of the battery's state of charge (SOC) changes for the MPC-based optimal speed trajectory following was around 6% less than that for a conventional non-optimal cruise controller. Moreover, in an experiment with a real ITIT, the energy consumption in terms of the SOC changes for the non-optimal cruise controller was 5% more than that for the MPC-based optimal speed trajectory following. [ABSTRACT FROM AUTHOR] |
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| قاعدة البيانات: |
Business Source Index |