Interturn Fault Diagnosis for Model-Predictive-Controlled-PMSM Based on Cost Function and Wavelet Transform

Hang, Jun; Zhang, Jibo; Xia, Mengjie; Wang, Hua

doi:10.1109/tpel.2019.2953269

Cited by 89 publications

(33 citation statements)

References 42 publications

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“…On the other hand, there are some new developments in the current research of observers, for instance, in [8], the peak energy spectrum is creatively introduced into the flux linkage observer, while a bearing fault diagnosis based on a full-order observer is firstly proposed and applied, which has a groundbreaking significance, and this research direction is worthy of attention. The abrupt changes in dq-axis inductances and stator resistance can also be used to diagnose the inter-turn short-circuit (ITSC) [67]- [71].…”

Section: B Basic Parameter Estimation Techniquesmentioning

confidence: 99%

Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview

2021

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Online parameter estimation of permanent magnet synchronous machines is critical for improving their control performance and operational reliability. This paper provides an overview of the recent achievements of online parameter estimation of PMSMs with examples. The critical issues in parameter estimation are firstly analysed, especially the rank-deficient issue and inverter nonlinearities. Then, the stateof-the-art online parameter estimation modelling techniques are reviewed and assessed. Finally, some typical applications and examples are outlined, e.g. estimation of mechanical parameters, improvement of sensored and sensorless control performance, thermal condition monitoring, and fault diagnosis, together with future research trends.INDEX TERMS Condition monitoring, control performance, electrical parameter, fault diagnosis, mechanical parameter, online parameter estimation, permanent magnet synchronous machine, sensorless control.

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Section: B Basic Parameter Estimation Techniquesmentioning

confidence: 99%

Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview

2021

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“…While most of the early works in fault diagnosis research concentrate on the fault signatures of line-fed motors, recent studies consider fault detection of inverter-fed, closed-loop controlled machines [5]- [16]. Condition monitoring for closedloop controlled drive systems becomes especially interesting because the controller inherently tries to create a balanced set of phase currents even in the case of a faulted machine, covering the fault traces to a large extent [5]- [7].…”

Section: Introductionmentioning

confidence: 99%

“…technique. Among the previous studies mentioned as examples of fault detection with closed-loop control, field-oriented control (FOC) is considered in [5]- [13], direct torque control (DTC) in [14], [15], and model predictive control (MPC) in [16].…”

Section: Introductionmentioning

confidence: 99%

Model Predictive Controller Utilized as an Observer for Inter-Turn Short Circuit Detection in Induction Machines - Preprint Version

Şahin¹,

Keysan²

2021

Preprint

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<p>In this paper, a novel and non-invasive stator inter-turn short circuit (ITSC) online detection method is presented for an induction machine (IM), driven by a two-level voltage source inverter (2L-VSI) via finite control set model predictive control (FCS-MPC). The main idea of the proposed method is to utilize the controller itself as an observer: under the presence of a fault, the distribution of inverter switching states significantly deviates from the original balanced case. Therefore, by inspecting the inverter switching vectors, which are the outcomes of the FCS-MPC routine's online optimization procedure, a stator fault can be detected efficiently. It is observed that both the zero-vector allocation over the complex plane and the allocation among the active vectors are influenced by the presence of a stator short-circuit fault. The proposed fault detection strategy introduces little to no extra burden for processor and memory. Experimental results verify the proposed method, and inter-turn short circuits of two and three turns are confidently detected and located for a 500 W, two-pole IM.</p>

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“…Permanent magnet synchronous motors (PMSMs) have been widely employed in servo control systems, such as in electrical vehicles, numerical control machines, and robotic fields, owing to its advantages of high power density, low electric power loss, and small structural size [1][2][3][4]. However, parameter mismatching, nonlinearity of the controlled model, and uncertain disturbances inevitably exist in the PMSM servo system, which decreases the tracking performance and stability [5].…”

Section: Introductionmentioning

confidence: 99%

Torque Ripple Suppression of PMSM Based on Robust Two Degrees-of-Freedom Resonant Controller

Huang

Deng

et al. 2021

Energies

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This paper concentrates on a robust resonant control strategy of a permanent magnet synchronous motor (PMSM) for electric drivers with model uncertainties and external disturbances to improve the control performance of the current loop. Firstly, to reduce the torque ripple of PMSM, the resonant controller with fractional order (FO) calculus is introduced. Then, a robust two degrees-of-freedom (Robust-TDOF) control strategy was designed based on the modified resonant controller. Finally, by combining the two control methods, this study proposes an enhanced Robust-TDOF regulation method, named as the robust two degrees-of-freedom resonant controller (Robust-TDOFR), to guarantee the robustness of model uncertainty and to further improve the performance with minimized periodic torque ripples. Meanwhile, a tuning method was constructed followed by stability and robust stability analysis. Furthermore, the proposed Robust-TDOFR control method was applied in the current loop of a PMSM to suppress the periodic current harmonics caused by non-ideal factors of inverter and current measurement errors. Finally, simulations and experiments were performed to validate our control strategy. The simulation and experimental results showed that the THDs (total harmonic distortion) of phase current decreased to a level of 0.69% and 5.79% in the two testing environments.

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Interturn Fault Diagnosis for Model-Predictive-Controlled-PMSM Based on Cost Function and Wavelet Transform

Cited by 89 publications

References 42 publications

Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview

Online Parameter Estimation for Permanent Magnet Synchronous Machines: An Overview

Model Predictive Controller Utilized as an Observer for Inter-Turn Short Circuit Detection in Induction Machines - Preprint Version

Torque Ripple Suppression of PMSM Based on Robust Two Degrees-of-Freedom Resonant Controller

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