A Fault-Injection Strategy for Traction Drive Control Systems

Yang, Chunhua; Peng, Tao; Yang, Xiaoyue; Gui, Weihua

doi:10.1109/tie.2017.2674610

Cited by 102 publications

(39 citation statements)

References 33 publications

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“…In order to test the performance of the proposed method, some experiments of CRH2 explored by Central South University [28] are conducted in this section, as shown in Figure 6. The experimental setup with fault injection operations of CRH2 consists of DSP controller, upper computer, dSPACE, data acquisition, and display devices.…”

Section: Results and Illustrationsmentioning

confidence: 99%

Data-Driven Incipient Sensor Fault Estimation with Application in Inverter of High-Speed Railway

Chen

Jiang

2017

Mathematical Problems in Engineering

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Incipient faults in high-speed railway have been rarely considered before developing into faults or failures. In this paper, a new data-driven incipient fault estimate (FE) methodology is proposed under multivariate statistics frame, which incorporates with Kullback-Leibler divergence (KLD) in information domain and neural network approximation in machine learning. By defining one sensitive fault indicator (SFI), the incipient fault amplitude can be precisely estimated. According to the experimental platform of China Railway High-speed 2 (CRH2), the proposed incipient FE algorithm is examined, and the more sensitivity and accuracy to tiny abnormality are demonstrated. Followed by the incipient FE results, several factors on FE performance are further analyzed.

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Section: Results and Illustrationsmentioning

confidence: 99%

Data-Driven Incipient Sensor Fault Estimation with Application in Inverter of High-Speed Railway

Chen

Jiang

2017

Mathematical Problems in Engineering

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“…From the structure of system (10)-(11), it is straight forward to see that system (10) dominates the sliding motion of the system (10)-(11) with respect to the sliding surface (13). From (10) and (13), the corresponding sliding mode dynamics can be described byė…”

Section: Casementioning

confidence: 99%

“…Then, the following result is ready to be presented. Theorem 1: The sliding-mode control in (16) drives the error dynamical system (10)- (11) to the sliding surface (13) in finite time and maintains a sliding motion on it thereafter if m b < m and the control gain r(t) in (16) satisfies…”

Section: Casementioning

confidence: 99%

See 1 more Smart Citation

Adaptive Fault-Tolerant Sliding-Mode Control for High-Speed Trains With Actuator Faults and Uncertainties

Mao

Yan

Zhang

et al. 2020

IEEE Trans. Intell. Transport. Syst.

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In this paper, a novel adaptive fault-tolerant slidingmode control scheme is proposed for high-speed trains, where the longitudinal dynamical model is focused, and the disturbances and actuator faults are considered. Considering the disturbances in traction force generated by the traction system, a dynamic model with actuator uncertainties modelled as input distribution matrix uncertainty is established. Then, a new sliding-mode controller with design conditions is proposed for the healthy train system, which can drive the tracking error dynamical system to a pre-designed sliding surface in finite time and maintain the sliding motion on it thereafter. In order to deal with the actuator uncertainties and unknown faults simultaneously, the adaptive technique is combined with the fault-tolerant slidingmode control design together to guarantee that the asymptotical convergence of the tracking errors is achieved. Furthermore, the proposed adaptive fault-tolerant sliding-mode control scheme is extended to the cases of the actuator uncertainties with unknown bounds and the unparameterized actuator faults. Finally, case studies on a real train dynamic model are presented to explain the developed fault-tolerant control scheme. Simulation results show the effectiveness and feasibility of the proposed method.Index Terms-Actuator faults, fault-tolerant sliding-mode control, adaptive control, actuator uncertainty, high-speed train.

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“…When normal instruction is given, a three-phase stator current is adopted directly as reference current signal. When fault instruction is given, fault reference current signal is generated by conditioning three-phase stator current signal and specific fault signal, which is detailed in [25]. By calculating the current residual between reference current signal and predictive value of load current, the best applicable switch control signal is selected by predictive controller as switch control signal of three-phase four-switch converter for the next second instant.…”

Section: Topology Of Motor Emulatormentioning

confidence: 99%

A Power Loss Decrease Method Based on Finite Set Model Predictive Control for a Motor Emulator with Reduced Switch Count

et al. 2019

Self Cite

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This paper presents a power loss decrease method based on finite set model predictive control (FSMPC) with delay compensation for a motor emulator with reduced switch count. Specifically, the topology and mathematical model of the proposed motor emulator with reduced switch count are firstly built. Secondly, in light of given instructions, the normal or fault reference current of the motor emulator is set by a reference current setter. Then delay compensation is applied for the predictive current model to calculate the current residual generated by each switch control signal, and the current tracking performance under actions of two adjacent switch control signals is evaluated for each sector. Finally, a switch power loss objective function is defined, then the two adjacent switch control signals that generate the lowest switch power loss are selected for the next second instant, which minimizes the power loss of the motor emulator with ensuring satisfied current tracking performance. Simulation and experimental results show the feasibility and effectiveness of the proposed method.

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A Fault-Injection Strategy for Traction Drive Control Systems

Cited by 102 publications

References 33 publications

Data-Driven Incipient Sensor Fault Estimation with Application in Inverter of High-Speed Railway

Data-Driven Incipient Sensor Fault Estimation with Application in Inverter of High-Speed Railway

Adaptive Fault-Tolerant Sliding-Mode Control for High-Speed Trains With Actuator Faults and Uncertainties

A Power Loss Decrease Method Based on Finite Set Model Predictive Control for a Motor Emulator with Reduced Switch Count

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