PLL- and FLL-Based Speed Estimation Schemes for Speed-Sensorless Control of Induction Motor Drives: Review and New Attempts

Wang, Huimin; Yang, Yongheng; Ge, Xinglai; Zuo, Yun; Yan, Yingyi; Li, Songtao

doi:10.1109/tpel.2021.3117697

Cited by 69 publications

(18 citation statements)

References 117 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Even though signal injection systems operate well across a large speed range and are unaffected by motor parameter changes or uncertainties, they may have undesirable side effects on IM drives, such as noticeable torque ripples and excessive power losses [ 13 , 14 ]. Furthermore, common disadvantages like difficult signal processing and limited flexibility limit their interest for practical implementation.…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, common disadvantages like difficult signal processing and limited flexibility limit their interest for practical implementation. In turn, model-based approaches rely on an analytical representation of the motor to accomplish speed estimation [ 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 ]. The employment of observers or parametric techniques for this purpose is common among model-based approaches.…”

Section: Introductionmentioning

confidence: 99%

“…The performance of the observers, and therefore the speed estimation in steady- and transient-states, is enhanced by speed estimation algorithms that are less susceptible to multi-parameter perturbations [ 24 ]. Additionally, within the category of model-based approaches, an improved AFO was described in [ 14 ] for speed-sensorless-controlled IM drives, in which the gain matrix was intentionally created to provide high resistance against undesired disturbances. Various observers, such as the adaptive full-order observer (AFO) [ 14 , 15 , 16 ], adaptive reduced-order observer (ARO) [ 25 ], extended Kalman filter (EKF) [ 26 ], and sliding mode observer (SMO) [ 27 , 28 ], are used to create model-based estimation systems.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Speed Estimation of Six-Phase Induction Motors, Using the Rotor Slot Harmonics

Laadjal

Bento

Antunes

et al. 2022

Sensors

View full text Add to dashboard Cite

Multiphase machines have recently been promoted as a viable alternative to traditional three-phase machines. Most experts are looking for strategies to estimate the rotation speed of such complex systems, since speed data are required for high-performance control purposes. Traditionally, electromechanical sensors were used to detect the rotor speed of electric motors. These devices are extremely accurate, but they are also delicate and costly to deploy. New speed estimating algorithms must be created for these situations. This paper looks at how to estimate rotor speed in symmetrical six-phase induction motors (IMs) using a novel strategy for rotor speed estimation based on the Short Time Fourier Transform (STFT) method. The technique is based on tracking the frequencies of the rotor slot harmonics (RSH) seen in most squirrel-cage IM stator currents, thus assuring a broad range of applications. To monitor the RSH, the STFT employs a sliding window to perform the discrete Fourier transform technique, making it more suitable for online use with noisy and nonstationary signals. Experimental tests demonstrate the effectiveness of the suggested approach.

show abstract

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Speed Estimation of Six-Phase Induction Motors, Using the Rotor Slot Harmonics

Laadjal

Bento

Antunes

et al. 2022

Sensors

View full text Add to dashboard Cite

show abstract

“…Consequently, speed estimation techniques such as Extended Kalman Filter (EKF), Sliding Mode Observer (SMO), signal injection techniques, etc. have become a hot research subject in the field of three-phase IM drive systems [4][5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Current Sensor FTC Method for MPTC of Three-Phase Induction Motor Drives Without Speed Measurement

et al. 2022

View full text Add to dashboard Cite

In encoderless Model Predictive Torque Control (MPTC) of three-phase Induction Motor (IM) drives, current sensors can face different electrical or mechanical faults in harsh industrial environments. In this research, single-phase current sensor Fault-Tolerant Control (FTC) method for MPTC of three-phase IM drives without speed measurement using a flux linkage observer and Model Reference Adaptive System (MRAS) algorithm is proposed. In the presented FTC method, Third-Difference (TD) operators, logic circuit module, flux linkage observer, and MRAS algorithm are utilized for fault detection, fault isolation, estimation of stator currents and fluxes, and speed estimation, respectively. In comparison with the conventional current sensor FTC methods, the proposed method can be utilized for encoderless three-phase IM drives. In order to confirm the usefulness and possibility of the proposed encoderless FTC method, experimental studies are performed for a 0.75 kW three-phase IM drive system in different situations. The achieved results demonstrate good performances of the proposed technique during both normal and faulty situations.

show abstract

“…This adopted method has ensured a high accuracy of speed estimation. Nevertheless, the main disadvantages of this observer lie in its complex algorithm and the difficulty of selecting the two matrixes Q and R. The SOGI-FLL technique is another effective solution that has been applied for sensorless speed estimation (or flux estimation) [21]− [24]. For instance, Wanget al [25] have proposed a speed-sensorless control that includes an improved SOGI-FLLbased-speed estimation for induction motor drives.…”

Section: Introductionmentioning

confidence: 99%

Experimental implementation of low-cost and robust sensorless control based on SOGI-FLL estimator for electric vehicles

Bouzidi

Ismail

Boukhari

et al. 2022

IJPEDS

View full text Add to dashboard Cite

Sensorless control techniques of electric motor dedicated to electric vehicles (EVs) offer low-cost and high operating performance. In this paper, a low-cost and robust speed-sensorless control scheme based on a second-order generalized integrator-frequency-locked loop method (SOGI-FLL) is proposed with only one current sensor. The SOGI-FLL is introduced to estimate accurately the motor angular speed from a measured current signal. While the scalar control technique, based on a single loop speed regulation, is used to determine the <em>‎</em>control signals. According to the proposed control scheme, the overall system will be very effective in terms of low-cost control and easy practical implementation, which have a great impact on electric vehicle applications. dSPACE micro labox platform is used to implement the proposed control scheme to drive an induction motor. The obtained results confirm the effectiveness and high performance of the proposed control to properly estimate the angular speed and drive the induction motor.

show abstract

PLL- and FLL-Based Speed Estimation Schemes for Speed-Sensorless Control of Induction Motor Drives: Review and New Attempts

Cited by 69 publications

References 117 publications

Speed Estimation of Six-Phase Induction Motors, Using the Rotor Slot Harmonics

Speed Estimation of Six-Phase Induction Motors, Using the Rotor Slot Harmonics

Current Sensor FTC Method for MPTC of Three-Phase Induction Motor Drives Without Speed Measurement

Experimental implementation of low-cost and robust sensorless control based on SOGI-FLL estimator for electric vehicles

Contact Info

Product

Resources

About