Demagnetization Fault Detection for Five-Phase IPMSM Through Integral Terminal Sliding Mode Flux-Linkage Observer

Zafari, Y.; Mazinan, A. H.; Shoja-Majidabad, Sajjad

doi:10.1080/03772063.2018.1436474

Cited by 13 publications

(5 citation statements)

References 32 publications

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“…Then, optimization tools are used for achieving the optimal currents which yield improving the output torque performance of the 5-phase PMSM under RMD. A novel integral terminal sliding mode flux-linkage observer is developed in [28] for detecting RMD for 5-phase PMSMs. In [29], the assessments of current and voltage signature analysis, for on-line monitoring of RMD in 5-phase PMSM drives, were established.…”

Section: Introductionmentioning

confidence: 99%

Robust Online Magnet Demagnetization Diagnosis in Asymmetrical Six-Phase AC Permanent Magnet Motor Drives

et al. 2023

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Rotor magnets are critical components, which in case of fault, directly affect the performance of drives based on permanent magnet synchronous motors. Thus, monitoring the rotor magnets status is essential to ensure both high level of efficiency and service continuity. The present study focuses on the investigation of a new full-time domain-based method for the diagnosis of incipient rotor magnet demagnetization in a vector-controlled asymmetrical six-phase surface-mounted ac permanent magnet synchronous motor. The proposed strategy evaluates the rotor magnet demagnetization using a fault index derived from the control signals synthetized in the 5 th subspace, and already available in the control system platform. The main advantages of the proposed new strategy are its simplicity of implementation, and effectiveness even under time-varying operating conditions as the employed control signals in specific subspaces have a dc behavior. Extensive numerical simulations and experimental tests, carried out at different speed and load levels, have shown the validity of the proposed method, leading to an effective diagnostic procedure for a vector-controlled asymmetrical six-phase surface-mounted ac PMSM.

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Section: Introductionmentioning

confidence: 99%

Robust Online Magnet Demagnetization Diagnosis in Asymmetrical Six-Phase AC Permanent Magnet Motor Drives

et al. 2023

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“…Various methods have been proposed to detect faults [27]- [33]. One of these methods is the modelbased FD technique, which has been practically employed in many industrial applications [34]- [38]. Figure 1 illustrates the algorithm of the model-based FD method.…”

Section: Introductionmentioning

confidence: 99%

An LMI approach to Mixed H_∞/H_- fault detection observer design for linear fractional-order systems

Azimi

Shandiz

2021

TELKOMNIKA

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This study deals with the problem of robust fault detection for linear timeinvariant fractional-order systems (FOSs) assumed to be affected by sensor, actuator and process faults as well as disturbances. The observer-based method was employed to solve the problem, where the detector is an observer. The problem was transformed into the mixed 𝐻 ∞ /𝐻 − robust optimization problem to make the system disturbance-resistant on one hand and fault-sensitive on the other hand. Then, sufficient conditions were obtained to solve the problem in the linear matrix inequality (LMI) mode.Finally, the effectiveness and superiority of the method were demonstrated by simulating the solutions on a single-input multi-output thermal testing bench.

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“…Field Oriented Control (FOC) is one of the most common techniques for speed control of multi-phase PMSMs [6]. This technique allows to deal with the five-phase IPMSM like a DC motor by decoupling and transferring the equations from the stationary reference frame abcde to the rotary reference frame d 1 q 1 d 2 q 2 with a zero-sequence variable [7]. The FOC aims to control the current vector, while it needs accurate data of the rotor speed or position.…”

Section: Introductionmentioning

confidence: 99%

“…It is worthy to state that the nonlinear sliding surface is also known as a terminal sliding surface. The terminal sliding surface shows fast and high precision response vs. the linear sliding surface [7]. In the basis of the noted benefits, the Terminal Sliding Mode Control (TSMC) seems to be a powerful technique for fault tolerance.…”

Section: Introductionmentioning

confidence: 99%

Sensorless fault-tolerant control of five-phase IPMSMs via model reference adaptive systems

Zafari

Shoja-Majidabad

2020

Automatika

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The present study deals with sensorless fault-tolerant control (SFTC) of five-phase Interior Permanent Magnet Synchronous Motors (IPMSMs). First, a Proportional-Integral Model Reference Adaptive System (PI-MRAS) speed estimator is proposed. The MRAS compares outputs of reference and adaptive models. Then, PI controller is utilized to generate the estimated speed by minimizing current errors between the two models. Second, a novel Sign Integral Terminal Sliding Mode Controller (SITSMC) is suggested in the presence of open phase faults. The proposed controller tolerates these faults through a transformation matrix tuning technique in view of equal current and minimum copper loss schemes. Meanwhile, SITSM controller utilizes the estimated speed of PI-MRAS block. Third, stability of the closed-loop system is provided by Lyapunov theorem. Finally, simulation results validate the feasibility and effectiveness of the suggested SFTC strategy both in normal and open one phase faulty conditions for a five-phase IPMSM.

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Demagnetization Fault Detection for Five-Phase IPMSM Through Integral Terminal Sliding Mode Flux-Linkage Observer

Cited by 13 publications

References 32 publications

Robust Online Magnet Demagnetization Diagnosis in Asymmetrical Six-Phase AC Permanent Magnet Motor Drives

Robust Online Magnet Demagnetization Diagnosis in Asymmetrical Six-Phase AC Permanent Magnet Motor Drives

An LMI approach to Mixed H_∞/H_- fault detection observer design for linear fractional-order systems

Sensorless fault-tolerant control of five-phase IPMSMs via model reference adaptive systems

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