Data-driven model-free adaptive fault tolerant control for high-speed trains

被引：0

作者：

Wang H. ^{[1
]}

Liu G.-F. ^{[1
]}

Hou Z.-S. ^{[2
]}

机构：

[1] School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing

[2] School of Automation, Qingdao University, Qingdao

来源：

Kongzhi yu Juece/Control and Decision | 2022年 / 37卷 / 05期

关键词：

Actuator faults; Data-drive control; Fault-tolerant control; High-speed train; Model-free adaptive control; RBFNN;

D O I：

10.13195/j.kzyjc.2020.1543

中图分类号：

学科分类号：

摘要：

A data-driven model-free adaptive fault-tolerant control algorithm based on partial form dynamic linearization (PFDL-MFAFTC) is proposed to solve the problems of traction/braking force constraint and actuator faults for high-speed train operation control. Firstly, using the concept of pseudo gradient in the model-free adaptive control framework, the dynamic model of a high-speed train, which is difficult to accurately obtain parameters such as train mass, resistance and actuator faults, is transformed into a partial format dynamic linearization data model. Secondly, the radial basis function neural network (RBFNN) is used to deal with the nonlinear function caused by actuator faults. Then, the convergence of the PFDL-MFAFTC algorithm is guaranteed by utilizing the contraction mapping method. Finally, the effectiveness of the PFDL-MFAFTC algorithm is verified by a high-speed train numerical simulation. Copyright ©2022 Control and Decision.

引用

页码：1127 / 1136

页数：9

共 22 条

[1]

Tao T., Fault-tolerant control of high-speed trains, pp. 9-10, (2015)

[2]

Guo X G, Wang J L, Liao F., Adaptive fuzzy fault-tolerant control for multiple high-speed trains with proportional and integral-based sliding mode, IET Control Theory & Applications, 11, 8, pp. 1234-1244, (2017)

[3]

Guzinski J, Diguet M, Krzeminski Z, Et al., Application of speed and load torque observers in high-speed train drive for diagnostic purposes, IEEE Transactions on Industrial Electronics, 56, 1, pp. 248-256, (2009)

[4]

Fu L H., Research on the speed control of automatic train operation system based on the novel PSO-B-BP-PID controller, Advanced Materials Research, 354, 355, pp. 906-912, (2011)

[5]

Song Y D, Song Q, Cai W C., Fault-tolerant adaptive control of high-speed trains under traction/braking failures: A virtual parameter-based approach, IEEE Transactions on Intelligent Transportation Systems, 15, 2, pp. 737-748, (2014)

[6]

Mao Z H, Tao G, Jiang B, Et al., Adaptive compensation of traction system actuator failures for high-speed trains, IEEE Transactions on Intelligent Transportation Systems, 18, 11, pp. 2950-2963, (2017)

[7]

Tao T, Xu H Z., Fault-tolerant control of high-speed trains with parameter uncertainty, Applied Mechanics and Materials, 325, 326, pp. 1099-1105, (2013)

[8]

Wang M R, Song Y D, Song Q, Et al., Fuzzy-adaptive fault-tolerant control of high speed train considering traction/braking faults and nonlinear resistive forces, Advances in Neural Networks-ISNN 2011, pp. 563-573, (2011)

[9]

Song Q, Song Y D., Data-based fault-tolerant control of high-speed trains with traction/braking notch nonlinearities and actuator failures, IEEE Transactions on Neural Networks, 22, 12, pp. 2250-2261, (2011)

[10]

Gao S G, Dong H R, Ning B, Et al., Adaptive fault-tolerant automatic train operation using RBF neural networks, Neural Computing and Applications, 26, 1, pp. 141-149, (2015)

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