A Sensorless Speed Control of DC Motor Based on an Adaptive Reference Model

Autor:	El Hadji Mbaye Ndiaye, Lamine Thiaw, Mouhamadou Falilou Ndiaye, Ibrahima Ngom, Moustapha Diop, Samba Gueye
Rok vydání:	2021
Předmět:	Electronic speed control Computer Science::Systems and Control Control theory Computer science PID controller Kalman filter Feedback loop MATLAB computer Reference model DC motor computer.programming_language
Zdroj:	2021 4th Biennial International Conference on Nascent Technologies in Engineering (ICNTE).
DOI:	10.1109/icnte51185.2021.9487787
Popis:	This paper presents a new and simple approach to sensorless speed control based on adaptive reference model and applied to a permanent magnet DC motor. A suitable Kalman filter is used to estimate the motor speed necessary for the feedback loop. A reference model adaptive PID using the MIT rule for adapting the controller parameters is used to control the Motor. The model was implemented in MATLAB (Simulink) and the results obtained show a good estimate of the speed with a relative low error of 0.15% and good performance of the adaptive PID (response time, static error) which, despite the variation of Motor parameters manages to calculate optimum controller parameters online.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::8d5d41c74d4f2f8d01a596e62107a46f https://doi.org/10.1109/icnte51185.2021.9487787 Zobrazit plný text záznamu