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

Author:

Potturi Sudharani1ORCID,Reddy K. Jyotheeswara1ORCID,Dash Ritesh1ORCID,Jena Ramakanta2ORCID,Subburaj Vivekanandan3ORCID,Dhanamjayulu C.4ORCID

Affiliation:

1. School of Electrical and Electronics Engineering, REVA University, Bangalore, India

2. Department of EE, Seemanta Engineering College, Odisha, India

3. Department of Electrical Engineering, National Institute of Technology Silchar, Assam, India

4. School of Electrical Engineering, Vellore Institute of Technology, Vellore, India

Abstract

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.

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

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