Sensorless Direct Torque Control of Induction Motor Using Neural Network-Based Duty Ratio Controller

Sudheer, H; Kodad, S. F.; Sarvesh, B.

doi:10.1007/978-981-10-4762-6_49

Cited by 3 publications

(6 citation statements)

References 4 publications

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“…The concept of duty ratio using a simple ramp generator is introduced by D. Telford et al [20] and duty ratio modulation by Pengcheng Zhu et al [21]. The implementation of Fuzzy duty ratio was proposed by Ivica Kuric et al [23], Y S Kishore Babu, et al [22], Sudheer H et al [24]. In most of the papers [31][32][33][34][35] the duty ratio controller is applied to CDTC for torque ripple reduction.…”

Section: Duty Ratio Controller(drc) Using Fuzzy Logicmentioning

confidence: 99%

“…The implementation of Fuzzy duty ratio was proposed by Ivica Kuric et al [23], Y S Kishore Babu, et al [22], Sudheer H et al [24]. In most of the papers [31][32][33][34][35] the duty ratio controller is applied to CDTC for torque ripple reduction. In this paper the DRC controller using both Fuzzy and Neural Networks is developed and applied to Fuzzy DTC.…”

Section: Duty Ratio Controller(drc) Using Fuzzy Logicmentioning

confidence: 99%

“…The inputs of fuzzy controllers Torque (eT), Sector angle(θ) and output duty cycle(δ) are represented by three linguistic variables: small(S), Medium(M) and Large(L) represented by triangular membership functions as shown in Figure 6. [31][32].…”

Section: Duty Ratio Controller(drc) Using Fuzzy Logicmentioning

confidence: 99%

“…The duty ratio algorithm proposed by [21] demonstrates that active voltage vector is given only for a part of sampling period while zero voltage vector is applied for remaining time period results in torque ripple reduction. Implementation of Fuzzy logic duty ratio controller help to determine the optimal duty ratio to meet the torque and flux command [22][23][24]. In this paper CDTC first improved using Fuzzy logic based switching controller called Fuzzy DTC (FDTC).…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Improved Sensorless Direct Torque Control of Induction Motor Using Fuzzy Logic and Neural Network Based Duty Ratio Controller

Sudheer¹,

Sf²,

Sarvesh

2017

IJ-AI

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This paper presents improvements in Direct Torque control of an induction motor using Fuzzy logic with Fuzzy logic and neural network based duty ratio controller. The conventional DTC (CDTC) of induction motor suffers from major drawbacks like high torque and flux ripples and poor transient response. Torque and flux ripples are reduced by replacing hysteresis controller and switching table with Fuzzy logic switching controller (FDTC). In FDTC the selected switching vector is applied for the complete switching time period. The FDTC steady state performance can be improved by using duty ratio controller, the selected switching vector is applied only for the time determined by the duty ratio (δ) and for the remaining time period zero switching vector is applied. The selection of duty ratio using Fuzzy logic and neural networks is projected in this paper. The effectiveness proposed methods are evaluated using simulation by Matlab/Simulink.

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Section: Duty Ratio Controller(drc) Using Fuzzy Logicmentioning

confidence: 99%

Section: Duty Ratio Controller(drc) Using Fuzzy Logicmentioning

confidence: 99%

Section: Duty Ratio Controller(drc) Using Fuzzy Logicmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Improved Sensorless Direct Torque Control of Induction Motor Using Fuzzy Logic and Neural Network Based Duty Ratio Controller

Sudheer¹,

Sf²,

Sarvesh

2017

IJ-AI

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show abstract

“…To reduce these type of problems researchers have introduced Modulation in Space vector but it increased switching complexity. So, multilevel inverters were employed to improve drive performance but it proved to be expensive and increased switching losses of inverter [15]. Active power filter are mostly used to improve the power quality in the power system.…”

Section: -Introductionmentioning

confidence: 99%

A Comparative Study Of Harmonic Reduction Technique For Non-Linear Load Applications

Solanki¹,

Goswami²,

Goswami³

2017

International Journal of Innovative Research and Growth

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Direct Torque Control of Doubly Star Induction Motor Using Fuzzy Logic Speed Controller

Hellali

Belhamdi

2018

IJ-AI

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This paper presents the simulation of the control of doubly star induction motor using Direct Torque Control (DTC) based on Proportional and Integral controller (PI) and Fuzzy Logic Controller (FLC). In addition, the work describes a model of doubly star induction motor in α-β reference frame theory and its computer simulation in MATLAB/SIMULINK®.The structure of the DTC has several advantages such as the short sampling time required by the TC schemes makes them suited to a very fast flux and torque controlled drives as well as the simplicity of the control algorithm.the general- purpose induction drives in very wide range using DTC because it is the excellent solution. The performances of the DTC with a PI controller and FLC are tested under differents speeds command values and load torque.

show abstract

Sensorless Direct Torque Control of Induction Motor Using Neural Network-Based Duty Ratio Controller

Cited by 3 publications

References 4 publications

Improved Sensorless Direct Torque Control of Induction Motor Using Fuzzy Logic and Neural Network Based Duty Ratio Controller

Improved Sensorless Direct Torque Control of Induction Motor Using Fuzzy Logic and Neural Network Based Duty Ratio Controller

A Comparative Study Of Harmonic Reduction Technique For Non-Linear Load Applications

Direct Torque Control of Doubly Star Induction Motor Using Fuzzy Logic Speed Controller

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