Robust DTC Against Parameter Variation for Three Phase Induction Motor Drive Systems

Dube, Lucky; Bayoumi, Ehab H.E.

doi:10.1109/icecce49384.2020.9179205

Cited by 5 publications

(5 citation statements)

References 5 publications

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“…Case (3) In this instance the motor speed is reversed from 100 rad/sec to -100 rad/sec at t = 0.2 sec while the motor load torque is kept constant at 2 N.m. The speed response is demonstrated in Figure 14.…”

Section: ̂( )mentioning

confidence: 99%

“…This technique was successfully implemented to drive three-phase induction machine by performing a decoupled control of electromagnetic torque and stator flux of the motor. The induction machines are popular in industrial applications nowadays because they have a rigid structure which makes them reliable and cheap in terms of maintenance [3]. Ever since the DTC technique was introduced, many research studies to improve the conventional DTC strategy have been proposed.…”

Section: Introductionmentioning

confidence: 99%

“…In most applications of the DTC technique, the voltage source inverter (VSI) driving the induction machine is a sixswitch three-phase inverter (SSTPI) to achieve a highperformance drive system of the motor [3]. A DTC scheme where the induction machine is driven by a four-switch threephase inverter (FSTPI) was proposed by Metwally [8].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

DRNN Robust DTC for Induction Motor Drive Systems Using FSTPI

Dube¹,

Bayoumi²

2021

JESA

Self Cite

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In this paper, a self-tuning PI speed controller based on diagonal recurrent neural network is (DRNN) investigated and simulated to increase the robustness of the direct torque control (DTC) scheme for three-phase low-power IM drive system using a Four Switch Three-Phase Inverter (FSTPI). The drive is subjected to different system inputs and disturbances, step changes in speed under different load conditions, abrupt loading at high speed and speed reversal. Furthermore, the robustness of the controller is evaluated by varying motor parameter, stator resistance and moment of inertia. A comparison of classical and self-tuning PI speed controllers was presented to determine the effectiveness of the proposed controller. It is concluded based on simulation results using Matlab/Simulink. that the self-tuning PI speed controller provides the best performance by reacting rapidly and adaptively.

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Section: ̂( )mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

DRNN Robust DTC for Induction Motor Drive Systems Using FSTPI

Dube¹,

Bayoumi²

2021

JESA

Self Cite

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“…Em geral, a desvantagem do controle vetorial é a dependência de parâmetros, que são alterados por fenômenos físicos, como a temperatura, a saturação e o efeito skin, prejudicando a performance do controle. Dessa forma, estratégias de controle para lidar com as variações de parâmetros foram propostas na literatura, a exemplo do controle de torque direto (DTC), o controle adaptativo, o controle Fuzzy e o controle com modos deslizantes (Sahu et al, 2020;Dube and Bayoumi, 2020;Paul and Kucher, 2020;Mier et al, 2017;Roubache et al, 2016).…”

Section: Introdu ç ãOunclassified

Rastreamento de Fluxo e de Velocidade de um Motor de Indução Utilizando Controle Vetorial e Técnicas de Modos Deslizantes.

Souza

Ribeiro

2021

Procedings Do XV Simpósio Brasileiro De Automação Inteligente

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In this paper, an integral sliding-mode controller in conjunction with vector control oriented by rotor flux is designed for speed and flux tracking of a squirrel-cage three phase induction motor. The proposed control strategy yields robustness under parametric uncertainties and disturbance rejection in the plant and good transient response. By simulations via Simulink, the effectiveness of the control scheme is verified. Resumo: Neste trabalho, um controle de modo deslizante integral em conjunto com o controle vetorial de campo orientado pelo fluxo do rotor é projetado para rastreamento da velocidade e do fluxo de um motor de indução trifásico com gaiola de esquilo. A estratégia de controle proposta fornece robustez sob incertezas paramétricas e rejeição de distúrbios na planta e boa resposta transiente. Através de simulações via Simulink, a efetividade do esquema de controle é verificada.

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“…This structure has several important advantages: concepts are very intuitive and easy to understand, it can be applied to a wide range of systems, it is easy to consider the multivariable case, dead times can be compensated, easy inclusion of non-linearities in the model, simple handling of constraints, it is easy to implement the resulting controller, this methodology is appropriate for the inclusion [20][21][22][23][24][25][26][27][28][29].…”

Section: Introductionmentioning

confidence: 99%