Induction motor fault detection by a new sliding mode observer based on backstepping

Yi, Lingzhi; Sun, Tao; Yu, Wenxin; Xu, Xiu; Zhang, Guoyong; Jiang, Ganlin

doi:10.1007/s12652-022-03755-7

Cited by 7 publications

(7 citation statements)

References 26 publications

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“…Therefore, the nominal value of load torque is assumed to be 5 N and the unknown load disturbance, parameter change and external disturbance value are replaced by bounded unknown load disturbance d. In the simulation experiment, the unknown load disturbance d = ∆T L is set as [−2.5, 2.5] random noise disturbance. In the following, C-SMO, R-SMO and N-SMO represent the exponential observer, the observer proposed in [15] and the observer in this paper, respectively. SMO eis represents the sliding mode detection residual of the stator current.…”

Section: Simulation Results Analysismentioning

confidence: 99%

“…The residual signal enhanced by SR generates a considerable and effective energy shock by using an energy operator to estimate the timedomain energy. The residual time-domain energy estimation formula is shown as in equation (15).…”

Section: Estimation Of Time-domain Energymentioning

confidence: 99%

“…Yi et al proposed a sliding mode observer (SMO) based on backstepping for IM fault detection. This method has robustness against unknown load disturbances, effectively reducing tracking jitter, but also results in weak residual signals and poor detection performance [15]. Le et al proposed to identify the phase of a faulty device by the error between the measured current and the estimated current of the converter [16].…”

Section: Introductionmentioning

confidence: 99%

“…However, in the case of multiple single faults or mixed faults, the residual obtained by the model is weak, which can easily lead to missed detection or false detection. Moreover, there is a delay in state tracking; that is, the response speed and accuracy of the system model need to be improved [14][15][16]. (2) The above research either has good state tracking but weak detection performance or only analyzes data features for fault detection.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A fault detection method for induction motors with sliding mode observers based on stochastic resonance and the Teager energy operator

Zhong

Wang

2023

Meas. Sci. Technol.

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To accurately and sensitively track the stator current of the induction motor (IM) and detect faults, stochastic resonance (SR) and Teager energy operator (TEO) are combined to detect the fault in the residual stator current of sliding mode observer (SMO) under strong noise interference and complex weak fault conditions. Firstly, a new approach law is constructed to establish an SMO for better state tracking. Secondly, SR is used to absorb noise and amplify the detection residual of the SMO, and the output results are estimated by TEO in the time domain to achieve fault detection. Finally, the detection results of IM stator and rotor winding faults and sensor intermittent faults are presented. The experimental results show that the SMO has higher state tracking accuracy and a faster rate of convergence. Moreover, the residual of stator current is processed by SR and TEO, and the effectiveness of fault detection is enhanced.

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Section: Simulation Results Analysismentioning

confidence: 99%

Section: Estimation Of Time-domain Energymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A fault detection method for induction motors with sliding mode observers based on stochastic resonance and the Teager energy operator

Zhong

Wang

2023

Meas. Sci. Technol.

Self Cite

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“…In addition, in Liu and Chen (2022), the arcsine saturation function is used in the latter and stable stages of sliding mode motion. In Yi et al (2022), combining the backstepping method and the sliding mode control, a new reaching law SMO is designed. Although the introduction of the backstepping method can improve the performance of the SMO, the design process is cumbersome.…”

Section: Frontiers In Energy Researchmentioning

confidence: 99%

Chattering suppression of the sliding mode observer for marine electric propulsion motor based on piecewise power function

Zhan²,

Guo³

et al. 2022

Front. Energy Res.

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The sliding mode observer (SMO)–based sensorless control is essentially a discontinuous switching control algorithm. Therefore, there is large speed or torque chattering in the permanent magnet synchronous motor (PMSM) with existing sliding mode observer–based control methods. In order to solve this problem well, an algorithm based on an improved sliding mode observer is proposed. In detail, the piecewise power function approach is used to replace the traditional ones, that is, the sgn function or the sigmoid function approach. Simulation verifications are conducted to validate the effectiveness of the proposed observer. It shows that the piecewise power function–based sliding mode observer algorithm has obvious advantages in the stability of the three-phase current, namely, it improves the estimation accuracy of the rotor position, rotor speed, and dynamic response to various loads. For further verification, the proposed sliding mode observer algorithm is implemented and verified in a marine electric propulsion motor with a DSP chip of TMS320F28377D. Experimental results validate that the piecewise power function–based sliding mode observer algorithm has high control accuracy and fewer fluctuations, which are all vital in marine engineering.

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A State Detection Method of Induction Motor Based on PSO-BS-SMO

Zhong,

Yu,

Wang

2024

Int.J Automot. Technol.

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Induction motor fault detection by a new sliding mode observer based on backstepping

Cited by 7 publications

References 26 publications

A fault detection method for induction motors with sliding mode observers based on stochastic resonance and the Teager energy operator

A fault detection method for induction motors with sliding mode observers based on stochastic resonance and the Teager energy operator

Chattering suppression of the sliding mode observer for marine electric propulsion motor based on piecewise power function

A State Detection Method of Induction Motor Based on PSO-BS-SMO

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