A Robust Observer-Based Method for IGBTs and Current Sensors Fault Diagnosis in Voltage-Source Inverters of PMSM Drives

Jlassi, Imed; Estima, Jorge O.; Khil, Séjir Khojet El; Bellaaj, Najiba Mrabet; Cardoso, António J. Marques

doi:10.1109/tia.2016.2616398

Cited by 195 publications

(87 citation statements)

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“…To improve the reliability of control systems, the problem of fault detection and diagnosis has been paid more attention over the past two decades. A robust fault diagnostic method for multiple open-circuit faults and current sensor faults in three-phase permanent magnet synchronous motor drives has been proposed by Jlassi [1]. The proposed observer-based algorithm relies on an adaptive threshold for fault diagnosis.…”

Section: Introductionmentioning

confidence: 99%

A Hybrid Inverse Problem Approach to Model-Based Fault Diagnosis of a Distillation Column

et al. 2020

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Early-stage fault detection and diagnosis of distillation has been considered an essential technique in the chemical industry. In this paper, fault diagnosis of a distillation column is formulated as an inverse problem. The nonlinear least squares algorithm is used to evaluate fault parameters embedded in a nonlinear dynamic model of distillation once abnormal symptoms are detected. A partial least squares regression model is built based on fault parameter history to explicitly predict the development of fault parameters. With the stripper of Tennessee Eastman process as example, this novel approach is tested for step- and random-type faults and several factors affecting its efficiency are discussed. The application result shows that the hybrid inverse problem approach gives the correct change of fault parameter at a speed far faster than the base approach with only a nonlinear model.

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Section: Introductionmentioning

confidence: 99%

A Hybrid Inverse Problem Approach to Model-Based Fault Diagnosis of a Distillation Column

et al. 2020

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“…Especially, the observer method is one of the most popular modelbased methods. In [8], a robust observer method has been propose for sensor fault…”

Section: Background and Motivationmentioning

confidence: 99%

“…where, σ is magnetic leakage factor; Tr is rotor electromagnetic time constant; isα, isβ are motor stator currents in α axis, β axis, respectively; usα, usβ are motor stator voltages in α axis, β axis, respectively; ψsα, ψsβ are motor stator magnetic linkage in α axis, β axis, respectively; Rs, Rr, Ls, Lr, Lm, and ωr refer to motor stator equivalent resistance, rotor equivalent resistance, stator leakage inductance, rotor leakage inductance, mutual inductance and motor speed, namely [39].…”

Section: Igbt Open-circuit Fault Analysismentioning

confidence: 99%

“…Apart from IGBT open-circuit fault, sensor fault is also one of the main concerns in this thesis. Generally, there are four common types of sensor faults according to the sensor measurement output: stuck fault, drift fault, gain fault, and noise fault, which are expressed mathematically in (2-16) - (2)(3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14)(15)(16)(17)(18)(19).…”

Section: Sensor Fault Analysismentioning

confidence: 99%

“…To complete the sliding-window scheme, the definition of credibility should be proposed. As discussed above, ELM/RVFL multi-classification rule is concluded as: (3)(4)(5)(6)(7)(8)(9)(10)(11)(12)(13)(14) where G refers to the outlier evaluation value, µ denotes the mean, and σ denotes standard deviation of output nodes value, respectively. As shown in the Fig 3.8(a), if the maximum value is an outlier, the credibility G is high and the result is classified as a credible output.…”

Section: The Design Of Sliding-window Classifiermentioning

confidence: 99%

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Data-driven fault diagnosis in the converter system

Xia¹

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Firstly, the author would like to extend sincere appreciation for his supervisor, Asst. Prof. Xu Yan, for his patient advice, guidance and support. Enlightened by inspired communication with Prof. Xu, the novel idea can be generated in this research work. Besides, Prof. Xu's rigorous attitude of research has a great influence on the author, reshaping the author's learning and living styles. Moreover, the author truly appreciates Dr. Gou Bin, Research Fellow of EEE, who has provided considerable instruction and help, when author confronts difficulty. Those valuable advices solved a great deal of author's problems throughout the research work. Finally, yet importantly, the author would like to show his gratitude for family, which gives the author mental and financial support, as solid backing. In addition, the author also wants to thank his friends, who share pleasant time with each other.

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Fault‐tolerant control of PMSM based on NTSMC and NLFO

Fuxiang

Wang

2021

Asian Journal of Control

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In this work, a reliable fault-tolerant control scheme is proposed for open-circuit faults of the drive in a three-phase permanent magnet synchronous motor (PMSM) control system. A three-phase four-switch fault-tolerant topology drive is employed to guarantee the continuous operation after fault occurrence. A non-singular terminal sliding mode control (NTSMC) scheme is proposed to improve the robustness and the dynamic performance of the post-fault system.To estimate the information of fault, a nonlinear learning fault observer is constructed. Based on the fault information, a compensation term is added to the control scheme against the adverse effects of the transition process. Simulation results show that the proposed fault-tolerant control scheme enables the system to track the desired reference commands in the absence/presence of faults with satisfactory performance and achieves smooth transition for control law switching.

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A Robust Observer-Based Method for IGBTs and Current Sensors Fault Diagnosis in Voltage-Source Inverters of PMSM Drives

Cited by 195 publications

References 50 publications

A Hybrid Inverse Problem Approach to Model-Based Fault Diagnosis of a Distillation Column

A Hybrid Inverse Problem Approach to Model-Based Fault Diagnosis of a Distillation Column

Data-driven fault diagnosis in the converter system

Fault‐tolerant control of PMSM based on NTSMC and NLFO

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