Incipient winding fault detection and diagnosis for squirrel-cage induction motors equipped on CRH trains

Wu, Yunkai; Jiang, Bin; Wang, Yulong

doi:10.1016/j.isatra.2019.09.020

Cited by 181 publications

(89 citation statements)

References 31 publications

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“…Plugging equations (30) and (31) into (29), ignoring the higher-order terms and DC components of the quadratic term and above, it can be simplified as: According to equation (32) and the open-loop transfer function obtained foregoing, the AC small signal block diagram of AOT control is shown in Fig. 15.…”

Section: B Closed-loop Audio Susceptibility Analysismentioning

confidence: 99%

“…As will be disclosed latter, the frequency of Buck RS with AOT control is analyzed, comparing to the COT control, the proposed AOT control has a narrower range of frequencies. Similar to the COT control, the stability analysis is concerned widely, especially in fault diagnosis [28], [29], hence, the stability condition of AOT control is provided. In order to investigate the relationship between control method and DLF ripple suppression, audio susceptibility model of Buck RS is established, it is found that the closed-loop audio susceptibility of Buck RS with AOT control is lower at DLF, so the Buck RS can achieve better DLF ripple suppression.…”

Section: Introductionmentioning

confidence: 99%

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Adaptive on Time Controlled Double-Line- Frequency Ripple Suppressor With Fast Dynamic Response and High Efficiency

et al. 2020

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Due to the input power and output power do not match in real time, single-stage power factor correction converters have large double-line-frequency ripple at the output voltage. The double-linefrequency ripple voltage will cause some electronic devices to work abnormally, and limit the control loop bandwidth of power factor correction converter. In order to reduce the output double-line-frequency ripple voltage, a single-stage Flyback power factor correction converter with Buck ripple suppressor is used in this paper, the Buck ripple suppressor can generate same magnitude but 180° phase shifted voltage as Flyback power factor correction converter output voltage ripple. Adaptive on-time control is adopted in the Buck ripple suppressor benefiting with its wider bandwidth and fast dynamic response. The switching frequency range and stability of Buck ripple suppressor under constant on-time control and adaptive on-time control are discussed. By establishing the input-output audio susceptibility model, the output double-line-frequency ripple suppression performance is analyzed. Buck ripple suppressor using adaptive on-time control can suppress double-line-frequency ripple voltage effectively with the fast dynamic response and high efficiency. Simulation and experimental results are given to verify the theoretical analysis. INDEX TERMS Adaptive on-time control, audio susceptibility model, double-line-frequency ripple, dynamic response, power factor correction, stability analysis.

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Section: B Closed-loop Audio Susceptibility Analysismentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Adaptive on Time Controlled Double-Line- Frequency Ripple Suppressor With Fast Dynamic Response and High Efficiency

et al. 2020

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“…A composite supertwisting SMC control based on a novel disturbance observer was proposed in [34] for the speed regulation of PMSM. The disturbance observer-based fast terminal sliding controllers were successfully implemented in [35,36]. Some of the above approaches, however, suffered from the chattering problem whereas others suffered from the singularity problem.…”

Section: Introductionmentioning

confidence: 99%

Non-Singular Fast Terminal Sliding Mode Control With Disturbance Observer for Underactuated Robotic Manipulators

2020

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This paper proposes a novel non-singular fast terminal sliding control technique for underactuated robotic manipulators. The proposed approach combines the robustness properties of sliding mode-based control approaches with the approximation accuracy of disturbance observers to suppress both matched and mismatched uncertainties. It also solves the singularity and complex-value number problems associated with fast terminal sliding mode control (FTSMC), while guaranteeing fast convergence rate, robustness and tracking accuracy. The performance of the proposed approach is assessed using a three-link underactuated robotic manipulator with and without holding brakes. The obtained results confirmed the fast convergence rate of the disturbance approximation and position tracking errors along with the excellent robustness and dynamic performance of the proposed control approach. Additionally, due to the estimation properties of the disturbance observer, fast and excellent tracking performance was achieved without the use of large feedback gains. INDEX TERMS Underactuated robotic systems, fast terminal sliding mode control, non-singular control, disturbance observer, finite-time convergence.

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“…Sliding mode control (SMC) is a variable structure control with property that is insensitive to parameter variations and external disturbances. It has been well applied in the control strategy of chaotic systems, linear systems, nonlinear systems [12], [13]. Composite super-twisting sliding mode control and second-order sliding mode controller design with output constraint are investigated in [14], [15].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Backstepping Fuzzy Neural Controller Based on Fuzzy Sliding Mode of Active Power Filter

2020

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An adaptive backstepping fuzzy neural network (FNN) controller using a fuzzy sliding mode controller is designed to suppress the harmonics and improve the performance of a shunt active power filter (APF). A backstepping method transforms the APF system into a series of subsystems and uses the virtual control to simplify the controller design. A FNN controller is utilized to approach the nonlinear APF system. An adaptive fuzzy system is employed to adjust the sliding gain to compensate the approximation error of neural network and diminish the chattering. The weights of the fuzzy neural network and fuzzy system parameters are adjusted in real-time to guarantee the asymptotic stability of the designed control system. Simulation and experiemental studies indicate the validitiy of the proposed control method, demonstrating the good compensation performance and strong robustness. INDEX TERMS Fuzzy neural network, adaptive fuzzy control, backstepping control, active power filter.

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Incipient winding fault detection and diagnosis for squirrel-cage induction motors equipped on CRH trains

Cited by 181 publications

References 31 publications

Adaptive on Time Controlled Double-Line- Frequency Ripple Suppressor With Fast Dynamic Response and High Efficiency

Adaptive on Time Controlled Double-Line- Frequency Ripple Suppressor With Fast Dynamic Response and High Efficiency

Non-Singular Fast Terminal Sliding Mode Control With Disturbance Observer for Underactuated Robotic Manipulators

Adaptive Backstepping Fuzzy Neural Controller Based on Fuzzy Sliding Mode of Active Power Filter

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