Open circuit fault diagnosis strategy of PMSM drive system based on grey prediction theory for industrial robot

Xu, Xiaosu; Yang, Shirui; Jiang, Xuefeng

doi:10.1016/j.egyr.2022.10.433

Cited by 9 publications

(5 citation statements)

References 2 publications

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“…The development of accurate and rapid Fault-Detection and Isolation (FDI) algorithms is clearly crucial to leverage any fault-tolerant capability, especially for PMSMs operating at high speeds, in which the FDI algorithms must work at very high sampling rates [19]. Comprehensive reviews of diagnostic methods for PMSM drives are presented by Orlowsca-Kowalska et al in [13] and by Liang et al in [20], who show that the diagnosis of power switch open-circuits can be categorised into current-based [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35][36][37] and voltagebased methods [38][39][40][41]. Both methods are further classified into three categories (Table 1): Comprehensive reviews of diagnostic methods for PMSM drives are presented by Orlowsca-Kowalska et al in [13] and by Liang et al in [20], who show that the diagnosis of power switch open-circuits can be categorised into current-based [21][22][23][24][25][26][27][28][29][30][31][32][33][34][35]…”

Section: Introductionmentioning

confidence: 99%

“…Another observerbased method analysing the residuals between the reference and predicted currents is proposed in [28]; for each phase, two fault symptoms are defined to diagnose single or multiple open-circuits, and a fuzzy logic technique is applied for fault isolation. A more recent approach based on the so-called grey prediction theory is then presented in [29], in which the difference between the predicted and the actual current of a motor phase is used as a fault symptom. In another recent work [30], Zhang proposed detecting and isolating the open-circuit switch by evaluating the trends (i.e., constant, rising or falling) of the derivative of phase currents over a sliding time window; excluding dead-zone time, the fault is detected when a constant trend is obtained.…”

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confidence: 99%

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Diagnosis of Power Switch Faults in Three-Phase Permanent Magnet Synchronous Motors via Current-Signature Technique

Suti,

Di Rito

2024

Actuators

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The paper deals with the development of a model-based current-signature algorithm for the detection and isolation of power switch faults in three-phase Permanent Magnet Synchronous Motors (PMSMs). The algorithm, by elaborating the motor currents feedbacks, reconstructs the current phasor trajectories in the Clarke plane through elliptical fittings, up to detecting and isolating the fault depending on the characteristics of the signature deviation from the nominal one. As a rough approximation, as typically proposed in the literature, the fault of one out of six power switches implies that, at constant speed operation, the phasor trajectory deviates from the nominal circular path up to a semi-circular “D-shape” signature, the inclination of which depends on the failed converter leg. However, this evolution can significantly deviate in practical cases, due to the dynamics related to the transition of motor phase connections from failed to active switches. The study demonstrates that an online ellipse fitting of the current signature can be effective for diagnosis, through correlating the ellipse centre to the location of the failed switch. The performances of the proposed monitoring technique are here assessed via the nonlinear simulation of a PMSM employed for the propulsion of a lightweight fixed-wing Unmanned Aerial Vehicle (UAV), by quantifying the fault latencies and the related transients.

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Section: Introductionmentioning

confidence: 99%

mentioning

confidence: 99%

Diagnosis of Power Switch Faults in Three-Phase Permanent Magnet Synchronous Motors via Current-Signature Technique

Suti,

Di Rito

2024

Actuators

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“…Diagnosing multiple open-circuit faults in IGBTs in electric vehicles using three-phase currents without relying on motor models or control parameters was studied in [25]. A vector-controlled PMSM drive with a PR controller under OCF was proposed in [26], utilizing FOC with PWM technology.…”

Section: Introductionmentioning

confidence: 99%

PMSM Field-Oriented Control with Independent Speed and Flux Controllers for Continuous Operation under Open-Circuit Fault at Light Load Conditions

Ghanayem,

Alathamneh,

Nelms

2024

Energies

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Presented in this article is a permanent magnet synchronous motor (PMSM) control under open-circuit fault (OCF) operation using field-oriented control (FOC) with independent speed and flux controllers. The independent control allows the motor to operate efficiently under varying conditions. A simplified control approach is employed to control the PMSM under the OCF situation; the actual flux and torque of the PMSM are directly measured by the stator currents, eliminating the need for estimators or phase-locked-loop (PLL) systems. Matlab/Simulink is employed for the simulation, while hardware experiments are conducted using a dSPACE DS1104. The simulation and the hardware results demonstrate the control method’s effectiveness in maintaining continuous motor operation during OCF, its robustness against OCF conditions, and its ability to adapt under varying conditions, including speed, flux, and load torque change.

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“…An integrated electromechanical actuator mainly comprises a motor, a reducer, a driver, a controller, and a position sensor. Actuators are mainly used in aviation, aerospace, robotics, guided weapons, medical devices, precision instruments, and other fields [1][2][3][4][5]. Reducers used in EMAs mainly include the parallel shaft gear reducer, planetary gear reducer, harmonic reducer, and rotary vector reducer.…”

Section: Introductionmentioning

confidence: 99%

Research on Friction Compensation Method of Electromechanical Actuator Based on Improved Active Disturbance Rejection Control

Zhang,

Shi,

2023

Actuators

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The friction factor of harmonic reducers affects the transmission accuracy in electromechanical actuators (EMAs). In this study, we proposed a friction feedforward compensation method based on improved active disturbance rejection control (IADRC). A mathematical model of EMA was developed. The relationship between friction torque and torque current was derived. Furthermore, the compound ADRC control method of second-order speed loop and position loop was studied, and an IADRC control method was proposed. A real EMA was developed, and the working principles of the EMA driving circuit and current sampling were analyzed. The three methods—PI, ADRC, and IADRC—were verified by conducting speed step experiments and sinusoidal tracking experiments. The integral values of time multiplied by the absolute error of the three control modes under the step speed mode were approximately 47.7, 32.1, and 15.5, respectively. Disregarding the inertia of the reducer and assuming that the torque during no-load operation equals the friction torque during constant motion, the findings indicate that, under a load purely driven by inertia, the IADRC control method enhances tracking accuracy.

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Open circuit fault diagnosis strategy of PMSM drive system based on grey prediction theory for industrial robot

Cited by 9 publications

References 2 publications

Diagnosis of Power Switch Faults in Three-Phase Permanent Magnet Synchronous Motors via Current-Signature Technique

Diagnosis of Power Switch Faults in Three-Phase Permanent Magnet Synchronous Motors via Current-Signature Technique

PMSM Field-Oriented Control with Independent Speed and Flux Controllers for Continuous Operation under Open-Circuit Fault at Light Load Conditions

Research on Friction Compensation Method of Electromechanical Actuator Based on Improved Active Disturbance Rejection Control

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