Sensorless Control of Induction Motors Based on Fractional-Order Linear Super-Twisting Sliding Mode Observer With Flux Linkage Compensation

Mao, Shaoran; Tao, Haijun; Zhang, Zheng

doi:10.1109/access.2020.3024626

Cited by 13 publications

(2 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The low-pass filter has phase delay, and the error will increase due to a large amount of calculation in the phase compensation process [18]. To reduce chattering, a super-twisting sliding-mode observer (ST-SMO) is designed to replace the traditional SMO, and a phase-locked loop (PLL) system is used to extract the electrical angle and velocity of the active cell [19][20][21].…”

Section: Mathematical Model Of Pmlsmmentioning

confidence: 99%

Integrated Predictive Control of PMLSM Current and Velocity Based on ST-SMO

Zhang

Wang

et al. 2022

Energies

View full text Add to dashboard Cite

To enhance the control performance of a permanent magnet linear synchronous motor (PMLSM) and to improve its dynamic response performance and steady-state accuracy, a PMLSM model predictive integrated control (MPC) system based on a super-twisting sliding mode observer (ST-SMO) is proposed. According to the mathematical model of a PMLSM, this paper designs a three-step model to predict the comprehensive control correction factor, optimize the prediction speed and current, reduce the response time, and enhance the system’s stability. Meanwhile, in order to solve the problem of the PMLSM’s high dependence on mechanical sensors, the ST-SMO is introduced to observe the rotation speed of PMLSM, which has better tracking performance and observation accuracy than a traditional sliding mode observer (SMO). Finally, the experimental verification is carried out on the PMLSM experimental platform. The software simulation and hardware experiment results show that the control system designed in this paper not only simplifies the overall structure of the system, but it also has better control performance and tracking ability. Compared with traditional control methods and SMO, it has better control performance, stability, and speed-tracking performance.

show abstract

Section: Mathematical Model Of Pmlsmmentioning

confidence: 99%

Integrated Predictive Control of PMLSM Current and Velocity Based on ST-SMO

Zhang

Wang

et al. 2022

Energies

View full text Add to dashboard Cite

show abstract

“…In this way, the chattering problem of the PMa-BSynRM control system can be effectively eliminated. In order to design a robust hysteresis comparator, a linear second order sliding mode controller [17] is used as…”

Section: Design Of Fractional Order Super Twisting Sliding Mode Controllermentioning

confidence: 99%

Predictive Direct Control of Permanent Magnet Assisted Bearingless Synchronous Reluctance Motor Based on Super Twisting Sliding Mode

Gao¹,

Zhu²,

Shi³

2021

PIER M

View full text Add to dashboard Cite

A robust sensor‐less field‐oriented control of six‐phase induction motor drive with reduced common mode voltage

Shah,

Maurya

2024

Circuit Theory & Apps

View full text Add to dashboard Cite

SummaryThis article narrates a robust sensor‐less indirect rotor field‐oriented control (IRFOC) of a six‐phase asymmetrical induction motor (SPAIM) drive with an online estimation of parameters and reduction of common mode voltage (CMV). In comparison to the conventional IRFOC technique, the proposed IRFOC provides the least CMV using modified space vector modulation (SVM). To guarantee proper operation of IRFOC, accurate estimation of rotor time constant is mandatory; any mismatch in the actual and tuned value may lead to poor performance of the IRFOC algorithm. This problem will be further accelerated with encoder‐less control using model‐based estimators. In this manuscript, the problem of simultaneous estimation of speed and machine parameters is investigated, and a model reference adaptive system (MRAS) based speed estimator accompanied by online estimation of parameters is proposed to improve sturdiness against variation of parameters. A Simulink model of the proposed method is developed and a simulation study is carried out. To validate the simulation results, a scaled prototype model of The SPAIM rated for 2 HP, 200 V is developed and encoder‐less IRFOC for the SPAIM drives is implemented using an STM32F407VG controller board. The performance of the proposed observers is tested and verified for all the possible operating conditions and results are presented.

show abstract

Sensorless Control of Induction Motors Based on Fractional-Order Linear Super-Twisting Sliding Mode Observer With Flux Linkage Compensation

Abstract: Date of publication xxxx 00, 0000, date of current version xxxx 00, 0000.

Cited by 13 publications

References 20 publications

Integrated Predictive Control of PMLSM Current and Velocity Based on ST-SMO

Integrated Predictive Control of PMLSM Current and Velocity Based on ST-SMO

Predictive Direct Control of Permanent Magnet Assisted Bearingless Synchronous Reluctance Motor Based on Super Twisting Sliding Mode

A robust sensor‐less field‐oriented control of six‐phase induction motor drive with reduced common mode voltage

Contact Info

Product

Resources

About