PWM-VSI Fault Diagnosis for a PMSM Drive Based on the Fuzzy Logic Approach

Yan, Hao; Xu, Yongxiang; Cai, Feiyang; Zhang, He; Zhao, Weiduo; Gerada, Chris

doi:10.1109/tpel.2018.2814615

Cited by 144 publications

(59 citation statements)

References 26 publications

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“…Figure 20c shows the performance index before and after the fault. Yan et al proposed a PWM voltage source inverter diagnosis method for a PMSM drive system based on a fuzzy logic approach [27]. By using the fuzzy logic diagnosis method, the DSP could identify the faulty condition in 0.09 s after the fault occurrence.…”

Section: Normal Condition Experimental Resultsmentioning

confidence: 99%

Design and Implementation of a Speed-Loop-Periodic-Controller-Based Fault-Tolerant SPMSM Drive System

et al. 2019

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This paper proposes a speed-loop periodic controller design for fault-tolerant surface permanent magnet synchronous motor (SPMSM) drive systems. Faulty conditions, including an open insulated-gate bipolar transistor (IGBT), a short-circuited IGBT, or a Hall-effect current sensor fault are investigated. The fault-tolerant SPMSM drive system using a speed-loop periodic controller has better performance than when using a speed-loop PI controller under normal or faulty conditions. The superiority of the proposed speed-loop-periodic-controller-based SPMSM drive system includes faster transient responses and better load disturbance responses. A detailed design of the speed-loop periodic controller and its related fault-tolerant method, including fault detection, diagnosis, isolation, and control are included. In addition, a current estimator is also proposed to estimate the stator current. When the Hall-effect current sensor is faulty, the estimated current is used to replace the current of the faulty sensor. A 32-bit digital signal processor, type TMS-320F-2808, is used to execute the fault-tolerant method and speed-loop periodic control. Measured experimental results validate the theoretical analysis. The proposed implementation of a fault-tolerant SPMSM drive system and speed-loop periodic controller design can be easily applied in industry due to its simplicity.

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Section: Normal Condition Experimental Resultsmentioning

confidence: 99%

Design and Implementation of a Speed-Loop-Periodic-Controller-Based Fault-Tolerant SPMSM Drive System

et al. 2019

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“…The system model can be expressed by the switching functions, as in Reference [23]. In this section, the mathematical model of the system with LC filter is analyzed at first.…”

Section: Derivation Of Switching Function Modelmentioning

confidence: 99%

“…If the open-switch fault occurs on the power switch Q 1 , the expected value s 1 is still determined by the space-vector PWM (SVPWM) algorithm, while the actual switching variable s 1 f is 0. According to Equations (21)- (23) and Equations (27) and (28), the actual filter voltages in the stationary reference frame can be expressed as…”

Section: Fault Signatures Of Phase Amentioning

confidence: 99%

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Sliding-Mode-Observer-Based Open-Switch Diagnostic Method for Permanent Magnet Synchronous Motor Drive Connected with LC Filter

Wang¹,

Xu²,

Zou³

2019

Energies

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At present, pulse width modulation (PWM) technique is widely applied in motor drive systems. However, it may cause some unexpected effects: Bearing currents, overvoltage, power losses and unwanted noise. In some industrial cases, LC filters are always equipped in motor drive systems to suppress those unexpected effects. In order to improve the reliability and safety of the drive system, fault diagnostic strategies for power switches should be utilized as other drive systems without LC filters. In the literature, some open-switch diagnostic approaches are based on the observers derived from the mathematical models. However, the models are changed by the LC filters. Therefore, the existing approaches, based on the observers are failed, due to the change of the models. This study proposes an open-switch diagnostic method for permanent magnet synchronous motor (PMSM) drive equipped with LC Filter. The novelty of the proposed method is that the model of the LC filter is considered. Therefore, open-switch faults can be detected and located in the drive systems with LC filters. The switching function model of the drive system is analyzed at first. Then a sliding mode observer (SMO) considering the model of the filter is proposed to estimate the filter voltages and other state variables. Consequently, the faults can be detected and located through the residual errors between the expected and estimated filter voltages. This approach features simplicity. Furthermore, any extra sensors are not necessary. Experimental results on a 750-W PMSM drive system with an LC filter proved the feasibility of the proposed method.

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“…Nowadays, with the development of modern control theory, some intelligent algorithms, such as, fuzzy logic approach [26], sliding mode observer based on switching model approach [27], knowledge-based model approach [28], adaptive network-based fuzzy inference approach [29], wavelet transform and neural network algorithm [30], are applied into the diagnosis for open circuit faults in voltage source inverters. These approaches have many advantages in the diagnostic speed and stable capacity.…”

Section: Introductionmentioning

confidence: 99%

A New Diagnostic Algorithm for Multiple IGBTs Open Circuit Faults by the Phase Currents for Power Inverter in Electric Vehicles

Wei

Zhang

et al. 2018

Energies

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In order to simplify the application and improve diagnostic speed of the diagnostics, a novel method to diagnose multiple open circuit faults in insulated gate bipolar transistors (IGBTs) by three-phase currents for power inverter in electric vehicles is presented. The summation of currents with semi-period phase-difference is described in diagnostic variables with exploration of the current information in faulty condition. In contrast with plentiful existing methods which rely on the motor models and control parameters, this algorithm merely requires phase currents. Meanwhile, the normalized way based on the absolute phase currents and variable parameter moving average method are applied to improve the diagnostic speed and independence of load variation, which contributes to the real-time application in the electric vehicles. Experimental results, using a vector-controlled permanent magnet synchronous motor (PMSM) and digital signal processor MC56F8346, are presented to verify the algorithm effectiveness, showing many features, such as applicability for multiple open circuit faults, well-robustness against false alarms, briefness and agility for the diagnosis function.

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PWM-VSI Fault Diagnosis for a PMSM Drive Based on the Fuzzy Logic Approach

Cited by 144 publications

References 26 publications

Design and Implementation of a Speed-Loop-Periodic-Controller-Based Fault-Tolerant SPMSM Drive System

Design and Implementation of a Speed-Loop-Periodic-Controller-Based Fault-Tolerant SPMSM Drive System

Sliding-Mode-Observer-Based Open-Switch Diagnostic Method for Permanent Magnet Synchronous Motor Drive Connected with LC Filter

A New Diagnostic Algorithm for Multiple IGBTs Open Circuit Faults by the Phase Currents for Power Inverter in Electric Vehicles

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