Torque ripple reduction of Induction Motor using Dynamic Fuzzy Prediction Direct Torque Control

Bindal, Ranjit Kumar; Kaur, Inderpreet

doi:10.1016/j.isatra.2019.09.012

Cited by 30 publications

(10 citation statements)

References 15 publications

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“…Based on Figure 3 and Equations ( 13) to (24), the block diagram of the proposed MMPTC strategy is demonstrated in Figure 4. In the suggested control system in Figure 4, the voltage model, current model, ( 11), (12), and two PI controllers are considered for estimating the speed, rotor flux, and stator flux. The estimated speed is compared with the reference rotor speed to generate the reference torque.…”

Section: The Proposed Mmptcmentioning

confidence: 99%

“…where "^" indicates the estimated values. Based on (8) to (12), the flux observer for estimating the rotor flux and stator flux is shown in Figure 2.…”

Section: Flux Observer For Estimating the Fluxesmentioning

confidence: 99%

“…In addition, Uddin et al 11 implemented the sensored MPTC approach with delay compensation. Additionally, Bindal and Kaur 12 used fuzzy logic based on MPTC technique to reduce torque ripples. Furthermore, Yan et al 13 proposed a feedback correction‐based dual reference frame MPTC technique for speed sensorless control of 3φ IM drives to reduce the torque prediction error.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Simulation and hardware implementation of a sensorless modified MPTC for 3φ induction motor drives

Taleshian

Ghanbari

Rakhtala

2021

Int Trans Electr Energ Syst

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Model predictive torque control (MPTC) is developing as a high-performance control system for 3φ induction motor (IM) drives due to its simple structure and fast dynamic response. This paper proposes a sensorless modified MPTC (MMPTC) strategy to control the speed of 3φ IM drives. The suggested scheme uses an improved model reference adaptive system (MRAS) to estimate the rotor speed, motor fluxes, and improvement of the prediction model of the controller. Many experimental and simulation results using DSP/TMS320F28335 controller board and Matlab software are presented to validate the proposed control method. In addition, a comparative study for the traditional sensorless MPTC and proposed MMPTC is experimentally investigated. The presented results show low speed, torque, and flux ripples of the suggested MMPTC system at low-and high-speed ranges.

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Section: The Proposed Mmptcmentioning

confidence: 99%

“…where "^" indicates the estimated values. Based on (8) to (12), the flux observer for estimating the rotor flux and stator flux is shown in Figure 2.…”

Section: Flux Observer For Estimating the Fluxesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Simulation and hardware implementation of a sensorless modified MPTC for 3φ induction motor drives

Taleshian

Ghanbari

Rakhtala

2021

Int Trans Electr Energ Syst

View full text Add to dashboard Cite

show abstract

“…DTC method depends on the estimation of torque and stator flux of IM. The motor torque and flux are directly controlled with the aid of an appropriate selection of voltage vectors which develops the stator flux and has to rotate to satisfy a requirement of load torque demand concerning speed error [25, 26].…”

Section: Dtc Fed Induction Machinementioning

confidence: 99%

Broken rotor bar fault detection using Hilbert transform and neural networks applied to direct torque control of induction motor drive

R¹,

Irudayaraj

Saravanan³

et al. 2020

IET power electron.

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“…Zhou et al proposed a control strategy based on MPTC technique using four-switch inverter with suppression of the DC-link voltage offset [10]. Bindal and Kaur introduced a developed MPTC method for three-phase IM drives using fuzzy logic to reduce torque ripples [11]. Feedback correction-based dual reference frame MPTC strategy for encoderless control of three-phase IM drive systems to decrease the electromagnetic torque prediction error was presented by Yan et al [12].…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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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.

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Torque ripple reduction of Induction Motor using Dynamic Fuzzy Prediction Direct Torque Control

Cited by 30 publications

References 15 publications

Simulation and hardware implementation of a sensorless modified MPTC for 3φ induction motor drives

Simulation and hardware implementation of a sensorless modified MPTC for 3φ induction motor drives

Broken rotor bar fault detection using Hilbert transform and neural networks applied to direct torque control of induction motor drive

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

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