Abstract

In this article, sensorless speed control of DC motor has been proposed using the extended Kalman filter (EKF) estimator and Takagi–Sugeno-Kang (TSK) fuzzy logic controller (FLC). In the industry, high-cost measurement systems/sensors are necessary for better controlling and monitoring, which can be replaced by a sensorless control technique to reduce the cost, size and increase system reliability and robustness. EKF has been used to perform the sensorless speed control by estimating the speed of the DC motor using the armature current only and TSK-FLC is used to reduce the effect of motor parameter variation and load torque nonlinearity in close loop speed control for various speed references. The performance of EKF-based TSK-FLC is compared with EKF-based PID controller. The time-domain specification and absolute error performance indices indicate that EKF-based TSK-FLC is superior to the EKF-based PID under similar conditions. The proposed system is executed in the MATLAB/Simulink environment, and sensorless speed control of DC motor prototype model has been developed for validating the proposed technique with the help of a micro-controller.

Details

Title
Sensorless speed control of DC motor using EKF estimator and TSK fuzzy logic controller
Author
Tripathi, Ravi Pratap 1   VIAFID ORCID Logo  ; Singh, Ashutosh Kumar 1   VIAFID ORCID Logo  ; Gangwar, Pavan 1 ; Verma, Ramesh Kumar 2 

1  Department of Electronics and Communication Engineering, Indian Institute of Information Technology Allahabad, Prayagraj, India 
2  Department of Electronics and Communication Engineering, Bundelkhand Institute of Engineering & Technology, Jhansi, India 
Pages
338-348
Publication year
2022
Publication date
Jul 2022
Publisher
Taylor & Francis Ltd.
ISSN
00051144
e-ISSN
18483380
Source type
Scholarly Journal
Language of publication
Croatian; English
DOI
https://doi.org/10.1080/00051144.2022.2039990
ProQuest document ID
2634664776
Copyright
© 2022 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This work is licensed under the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.