Academic Journal
Research on PMSM control without speed sensorless applied to industrial electric drive system based on ADSMC method
| Title: | Research on PMSM control without speed sensorless applied to industrial electric drive system based on ADSMC method |
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| Authors: | Van Chinh, Ha, Duc Chuyen, Tran, Hoai Nam, Nguyen |
| Contributors: | Faculty of Electrical - Automation, University of Economics-Technology for Industries, Ha Noi, Vietnam |
| Source: | Bulletin of Electrical Engineering and Informatics; Vol 14, No 6: December 2025; 4325-4334 ; 2302-9285 ; 2089-3191 ; 10.11591/eei.v14i6 |
| Publisher Information: | Institute of Advanced Engineering and Science |
| Publication Year: | 2025 |
| Subject Terms: | Electrical and Electronics Engineering, Adaptive sliding mode, Intelligent control, Permanent magnet synchronous motors, Sensorless control, Sliding mode control, Universal algorithm |
| Description: | The paper research, calculates, and designs an industrial electric drive system control such as: computer numerical control (CNC) machining machines, milling machines, and grinding machines, with sensorless permanent magnet synchronous motors (PMSM) based on measuring current components, axial position and applied voltage to obtain information about rotation angle and speed for PMSM based on adaptive sliding mode control (ADSMC) method. Here an optimal sliding surface will be designed to demonstrate faster convergence than conventional sliding mode control. Then, an adaptive law is researched and developed to make the control parameters, especially the switching gain, updated quickly online. Therefore, the motor noise can be effectively reduced and the system can be better eliminated from noise, Chattering, and nonlinear noise. Finally, a reference model was created, the exponential decay curve was applied to track the angular position error. The ADSMC system with model reference proposed by the authors in the paper has combined the advantages of sliding mode control method and adaptive control method according to the sample model. The simulation results show that the performance is achieved faster and the control process is more accurate, the error of speed and angular position (less than 0.01%) compared to other control methods. |
| Document Type: | article in journal/newspaper |
| File Description: | application/pdf |
| Language: | English |
| Relation: | https://beei.org/index.php/EEI/article/view/10266/4457; https://beei.org/index.php/EEI/article/view/10266 |
| DOI: | 10.11591/eei.v14i6.10266 |
| Availability: | https://beei.org/index.php/EEI/article/view/10266 https://doi.org/10.11591/eei.v14i6.10266 |
| Rights: | Copyright (c) 2025 Ha Van Chinh, Tran Duc Chuyen, Nguyen Hoai Nam ; https://creativecommons.org/licenses/by-sa/4.0 |
| Accession Number: | edsbas.1858DB07 |
| Database: | BASE |
| DOI: | 10.11591/eei.v14i6.10266 |
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