Robustness Evaluation of Fuzzy Logic Control Based on Feedback Linearization of Induction Motor Fed by Matrix Converter

Dendouga, Abdelhakim; Guezi, Abderrahmane; Bendaikha, Abdelmalik

doi:10.1109/icpea51060.2022.9791183

Cited by 4 publications

(1 citation statement)

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“…ey transformed the three-phase torque-speed quantity into a DQ coordinate time variant quantity [22]. e transformation reduces the complexity and treats the three-phase induction motor as a DC motor in achieving required data speed characteristics [23].…”

Section: Introductionmentioning

confidence: 99%

Direct Torque Control of Induction Motor Using ConvLSTM Based on Gaussian Pillbox Surface

Potturi

Reddy

Dash

et al. 2022

Mathematical Problems in Engineering

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This article introduces long short-term memory (LSTM)-enabled direct torque control (DTC) for induction motor under a wide range of operation. Low-power applications of industrial drives are more as compared to high-power applications. The main objective of this paper is to address high torque, poor dynamic response, and flux ripple problems observed in low-power induction motor drives. The voltage selector switching table is replaced by LSTM encoder and embedding layer with hysteresis comparator. This will ensure robust control against induction motor disturbances and at the same time will enhance the stator flux trajectory prediction for DTC. Most of the studies describe DTC at a higher speed. In this article, the DTC has been applied to lower speed IM, typically in the range of 100 RPM. Different LSTM models have also been presented in terms of response time. A detailed comparative analysis between LSTM and fuzzy and ANFIS-based DTC has been carried out using MATLAB/Simulink model. The performance has been evaluated under steady and transient conditions as well.

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Section: Introductionmentioning

confidence: 99%