Demagnetization fault reconstruction for six-phase permanent magnet synchronous motor by improved super-twisting algorithm-based sliding-mode observer

Zhao, Kaihui; Leng, Aojie; Zhou, Ruirui; Dai, Wangke; Wu, Sicheng; Li, Tao

doi:10.1016/j.measurement.2020.108905

Cited by 17 publications

(7 citation statements)

References 30 publications

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“…Remark 2. The predicted reference voltage is calculated by (9) and substituted into (10) to select the optimal voltage vector, u opt . The selected u opt which is equivalent to the conventional predictive current method.…”

Section: A Design Of Fcs-mfftpcc In D-q-axis Current Loopsmentioning

confidence: 99%

“…The selected u opt which is equivalent to the conventional predictive current method. But it is not necessary to predict the current seven times according to (7), only calculate (9) once to obtain u opt .…”

Section: A Design Of Fcs-mfftpcc In D-q-axis Current Loopsmentioning

confidence: 99%

“…However, FCS-MPC relies heavily on the precise mathematical model of the motor. The control performance of the FCS-MPC method is easily affected by the parameter perturbations [8], such as stator inductance variation, stator resistance variation, and permanent magnet (PM) demagnetization faults [9]. In practical engineering applications, the resistance and inductance are affected by temperature and the operating conditions [10] the PM material of the rotor is affected by temperature, an external magnetic field, manufacturing defects, and so on [11], thus resulting in the demagnetization fault.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Robust Model-Free Fault-Tolerant Predictive Control for PMSM Drive System

Cheng,

Zhou,

et al. 2024

IEEE Access

Self Cite

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Section: A Design Of Fcs-mfftpcc In D-q-axis Current Loopsmentioning

confidence: 99%

Section: A Design Of Fcs-mfftpcc In D-q-axis Current Loopsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Robust Model-Free Fault-Tolerant Predictive Control for PMSM Drive System

Cheng,

Zhou,

et al. 2024

IEEE Access

Self Cite

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“…Among them, SMC is considered as one of the most effective methods to improve the immunity and robustness of PMSM systems and has attracted much attention. A model-free sliding mode controller with an extended sliding mode disturbance observer was designed to estimate the unknown part of the ultra-local model, which effectively improved the dynamic performance of the PMSM and ensured the strong robustness of the system [17]. A model-free non-singular terminal sliding mode combined with an extended non-singular sliding mode disturbance observer is proposed, and the speed-loop controller is designed, which reduces the dependence on the mathematical model of the motor, but the parameter regulation is complex and not very practical [18].…”

Section: Introductionmentioning

confidence: 99%

Non-singular Fast Terminal Sliding Mode Control Torsional Vibration Suppression for PM Synchronous Transmission System of EVs

Jia,

Zhao,

et al. 2023

PIER M

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To suppress the torsional vibration caused by the omission of couplings and dampers during flexible power transmission in the permanent magnet (PM) synchronous drive system of pure electric vehicles (EVs), this paper presents a non-singular fast terminal sliding mode control (NFTSMC) torsional vibration suppression strategy based on a sliding mode disturbance observer (SMDO). First, a PM synchronous drive system is simplified as a two-inertia model, and a mathematical model is established. Then, an NFTSMC controller of the load-side speed feedback is designed to suppress torsional vibration. Meanwhile, an SMDO is designed to estimate the load disturbance, and the estimated value is fed back to the controller to perform feedforward compensation. The robustness of the system is improved, and the effect of the load disturbance on the system is reduced. The results of the simulations and experiments show that the presented NFTSMC based on the SMDO strategy has a strong torsional vibration suppression effect compared to PI control and conventional sliding mode control.

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“…The dynamic performance of MRAS-based estimation methods can therefore be further improved. 19,20 In addition, the adaptive mechanism within MRAS can be considered as a proportional integral (PI) controller, which is not very robust. Thus, the accuracy of the MRAS-based estimation method for speed estimation will be reduced when the motor parameters are perturbed.…”

Section: Introductionmentioning

confidence: 99%

Full-order adaptive observer for interior permanent-magnet synchronous motor based on novel fast super-twisting algorithm

Feng

Bai

Zhang

2022

Measurement and Control

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To improve the accuracy of speed estimation strategy over a wide speed range in the sensorless speed control system of an interior permanent – magnet synchronous motor (IPMSM), a full-order adaptive observer based on a novel fast super-twisting algorithm (NFSTA-AO) is proposed. The conventional model reference adaptive system (MRAS) takes the linear compensation matrix of the unit matrix, which can only achieve speed discrimination within a certain speed range. Therefore, in this paper, a new linear compensation matrix is first derived using Popov’s super stability theory, and then, a new tachograph – adaptive law is obtained. A feedback correction link is also added to the adjustable model to improve the convergence speed of the error between the reference and adjustable model outputs. To further improve the accuracy of the tachograph estimation strategy, a novel fast super-twisting algorithm (NFSTA) convergence law is introduced in place of the adaptive law in the full-order adaptive observer, combining the advantages of both algorithms. The NFSTA added the inverse hyperbolic sine function based on system state variables to the integral term of the fast super-twisting algorithm (FSTA) to effectively suppress the torque pulsation of the system. A soft switching function is also designed to replace the symbolic switching function in order to reduce the system jitter caused by the sliding mode variable structure control. The simulation experiments show that the system using the NFSTA-AO estimation strategy is more resistant to disturbances and robust; additionally, it has better dynamic following than the conventional MRAS in the presence of added load disturbances and sudden speed changes.

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Demagnetization fault reconstruction for six-phase permanent magnet synchronous motor by improved super-twisting algorithm-based sliding-mode observer

Cited by 17 publications

References 30 publications

Robust Model-Free Fault-Tolerant Predictive Control for PMSM Drive System

Robust Model-Free Fault-Tolerant Predictive Control for PMSM Drive System

Non-singular Fast Terminal Sliding Mode Control Torsional Vibration Suppression for PM Synchronous Transmission System of EVs

Full-order adaptive observer for interior permanent-magnet synchronous motor based on novel fast super-twisting algorithm

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