High performance sensor-less V/f control of surface PMSM in voltage vector plane with ZVV injection and SMO-based position estimation method

Datta, Samar K.; Chandra, Arabindo; Chowdhuri, Sumana

doi:10.1007/s00202-021-01325-2

Cited by 6 publications

(6 citation statements)

References 33 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To further reduce chattering, the observed back emf information can be introduced into the observer as shown in Equation (10), and the optimized sliding-mode observer equation can be obtained d dt…”

Section: Adaptive Complex Coefficient Filtermentioning

confidence: 99%

“…In this study, an optimized sliding‐mode observer control algorithm is proposed for vehicle sensorless PMSM. The proposed algorithm substitutes the switching function in the conventional sliding‐mode observer with a novel piecewise function to reduce system chattering, and then it replaces the low pass filter in the conventional sliding‐mode observer with a complex coefficient filter to decrease the phase delay caused by the filter [10]. Lastly, the counter emf back obtained by the filtering of the complex coefficient filter is reintroduced into the sliding‐mode observer to decrease the sliding‐mode gain coefficient, more significantly reduce the system chattering, and enhance the robustness of the system [11].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

An optimized sliding‐mode observer control algorithm for vehicle sensor‐less PMSM

Xie

Guo

et al. 2023

The Journal of Engineering

View full text Add to dashboard Cite

An optimized sliding-mode observer control algorithm for permanent magnet synchronous motor (PMSM) is proposed to solve the problems in the conventional sliding-mode observer control algorithms (e.g., system chattering and phase delay). The proposed algorithm adopts a new piecewise function as a switching function to reduce system chattering. The low pass filter in the conventional sliding-mode observer is substituted with a complex coefficient filter in the proposed algorithm to solve the phase delay caused by the low pass filter. Moreover, the counter emf back obtained using the filtering of the complex coefficient filter is reintroduced into the sliding-mode observer to decrease the sliding-mode gain coefficient and reduce chattering in the system. the simulation results suggest that the proposed algorithm outperforms the conventional sliding-mode observer control algorithm in reducing chattering, increasing the convergence speed, reducing torque pulsation, increasing speed estimation accuracy and coping with speed and load mutation. JEL CLASSIFICATION Control engineering and robotics INTRODUCTIONPMSM has been extensively used in new energy vehicles for its rapid dynamic response, high torque density, high reliability and high efficiency [1,2]. Conventional PMSM for vehicles should acquire rotor position and magnetic field direction information in real time using a position sensor for the excellent driving performance of vehicles. However, a more significant rotor position error is generated, the control accuracy is reduced, and the torque output ability of the motor is weakened due to the zero-installation deviation of the position sensor and the distortion of the signal under complex operating conditions. Compared with the control system with a position sensor, the control system without a position sensor exhibits a wider speed range and a faster response speed, and it is capable of accurately acquiring rotor position information under harsh conditions (e.g., high temperature, high humidity, high pressure and strong magnetism), which leads to the maximal reliability of the electric drive system [3,4].

show abstract

Section: Adaptive Complex Coefficient Filtermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

An optimized sliding‐mode observer control algorithm for vehicle sensor‐less PMSM

Xie

Guo

et al. 2023

The Journal of Engineering

View full text Add to dashboard Cite

show abstract

“…e major goals of this work are to diagnose a BRB defect and to assess the severity of the issue while the IM is in closed loop drive with constant speed. e V/F control approach is used to attain a constant decoupled control [27,28]. e speed regulator output signal and stator phase current will be subjected to DWT investigation as a defect identification technique.…”

Section: ψ 2 -Dqm I -Dqs U -Dqs I I Dr I Qrmentioning

confidence: 99%

Diagnosis of Broken Bars in V/F Control Induction Motor Drive Using Wavelets and EEV Estimation for Electric Vehicle Applications

R¹,

Irudayaraj

Devarajan³

et al. 2022

International Transactions on Electrical Energy Systems

View full text Add to dashboard Cite

The induction motor (IM) defect diagnosis has been an important field of research in recent years. The development in control circuits for IM has piqued the interest of industrialists and researchers. This paper presents a method for detecting and quantifying broken rotor bar (BRB) faults via wavelets and energy Eigen value (EEV) estimation in voltage/frequency control-fed IM. The fast Fourier transform (FFT) extracts the signal’s amplitude and frequency components, while the discrete wavelet transform (DWT) decomposes it. In this paper, the energy estimation for each level of breakdown and the method to overcome the diagnose faults are explained. The EEV of the motor current of the signal determines the fault’s severity and provides a better method for identifying the faults. The usage of a single current sensor is a gain of this technology. With a fluctuating load, we can identify the issue and the number of broken bars via online. After processing of DWT, the faulty BRB’s stator current signal is suppressed to 91% in amplitude when compared to existing techniques. Simulation and experimental results have proved that the proposed method’s stability, durability, and resilience.

show abstract

“…In [15], correction loops are designed based on d-axis current error with integrated maximum torque per ampere (MTPA) block, which guarantees good dynamic performance especially at a very low speed. Additionally, a closed-loop V/f control is realized in the voltage vector plane [16]. However, the algorithm complexity increases similar to sensorless field-oriented control (FOC) due to load angle calculation in [15] and rotor position and speed estimation in [16], respectively.…”

Section: Introductionmentioning

confidence: 99%

A Reliable and Efficient I-f Startup Method of Sensorless Ultra-High-Speed SPMSM for Fuel Cell Air Compressors

Xing,

Xu,

Zhang

et al. 2024

Actuators

View full text Add to dashboard Cite

Extended back electromotive force (EEMF)-based position sensorless field-oriented control (FOC) is widely utilized for ultra-high-speed surface-mounted permanent magnet synchronous motors (UHS-SPMSMs) driven fuel cell air compressors in medium-high speed applications. Unfortunately, the estimated position is imprecise due to too small EEMF under low speed operation. Hence, current-to-frequency (I-f) control is more suitable for startup. Conventional I-f methods rarely achieve the tradeoff between startup acceleration and load capacity, and the transition to sensorless FOC is mostly realized in the constant-speed stage, which is unacceptable for UHS-SPMSM considering the critical requirement of startup time. In this article, a new closed-loop I-f control approach is proposed to achieve fast and efficient startup. The frequency of reference current vector is corrected automatically based on the active power and the real-time motor torque, which contributes to damping effect for startup reliability. Moreover, an amplitude compensator of reference current vector is designed based on the reactive power, ensuring the maximum torque per ampere operation and higher efficiency. Furthermore, the speed PI controller is enhanced by variable bandwidth design for smoother sensorless transition. These theoretical advantages are validated through experiments with a 550 V, 35 kW UHS-SPMSM. The experimental results demonstrated the enhanced startup performance compared with conventional I-f control.

show abstract

High performance sensor-less V/f control of surface PMSM in voltage vector plane with ZVV injection and SMO-based position estimation method

Cited by 6 publications

References 33 publications

An optimized sliding‐mode observer control algorithm for vehicle sensor‐less PMSM

An optimized sliding‐mode observer control algorithm for vehicle sensor‐less PMSM

Diagnosis of Broken Bars in V/F Control Induction Motor Drive Using Wavelets and EEV Estimation for Electric Vehicle Applications

A Reliable and Efficient I-f Startup Method of Sensorless Ultra-High-Speed SPMSM for Fuel Cell Air Compressors

Contact Info

Product

Resources

About