Super Twisted Sliding Mode Observer for Enhancing Ventilation Drive Performance
Ventilation systems are susceptible to errors, external disruptions, and nonlinear dynamics. Maintaining stable operation and regulating these dynamics require an efficient control system. This study focuses on the speed control of ventilation systems using a super twisted sliding mode observer (STS...
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MDPI AG
2025-04-01
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| author | Prince Byungun Yoon |
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| description | Ventilation systems are susceptible to errors, external disruptions, and nonlinear dynamics. Maintaining stable operation and regulating these dynamics require an efficient control system. This study focuses on the speed control of ventilation systems using a super twisted sliding mode observer (STSMO), which provides robust and efficient state estimation for sensorless control. Traditional SM control methods are resistant to parameter fluctuations and external disturbances but are affected by chattering, which degrades performance and can cause mechanical wear. The STSMO leverages the super twisted algorithm, a second-order SM technique, to minimize chattering while ensuring finite-time convergence and high resilience. In sensorless setups, rotor speed and flux cannot be measured directly, making their accurate estimation crucial for effective ventilation drive control. The STSMO enables real-time control by providing current and voltage estimations. It delivers precise rotor flux and speed estimations across varying motor specifications and load conditions using continuous control rules and observer-based techniques. This paper outlines the mathematical formulation of the STSMO, highlighting its noise resistance, chattering reduction, and rapid convergence. Simulation and experimental findings confirm that the proposed observer enhances sensorless ventilation performance, making it ideal for industrial applications requiring reliability, cost-effectiveness, and accuracy. |
| format | Article |
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| institution | OA Journals |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | MDPI AG |
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| series | Applied Sciences |
| spelling | doaj-art-5663baed54cf43c88652f0a07b2ecaa12025-08-20T01:49:14ZengMDPI AGApplied Sciences2076-34172025-04-01159492710.3390/app15094927Super Twisted Sliding Mode Observer for Enhancing Ventilation Drive PerformancePrince0Byungun Yoon1Department of Industrial & Systems Engineering, Dongguk University-Seoul, Seoul 04620, Republic of KoreaDepartment of Industrial & Systems Engineering, Dongguk University-Seoul, Seoul 04620, Republic of KoreaVentilation systems are susceptible to errors, external disruptions, and nonlinear dynamics. Maintaining stable operation and regulating these dynamics require an efficient control system. This study focuses on the speed control of ventilation systems using a super twisted sliding mode observer (STSMO), which provides robust and efficient state estimation for sensorless control. Traditional SM control methods are resistant to parameter fluctuations and external disturbances but are affected by chattering, which degrades performance and can cause mechanical wear. The STSMO leverages the super twisted algorithm, a second-order SM technique, to minimize chattering while ensuring finite-time convergence and high resilience. In sensorless setups, rotor speed and flux cannot be measured directly, making their accurate estimation crucial for effective ventilation drive control. The STSMO enables real-time control by providing current and voltage estimations. It delivers precise rotor flux and speed estimations across varying motor specifications and load conditions using continuous control rules and observer-based techniques. This paper outlines the mathematical formulation of the STSMO, highlighting its noise resistance, chattering reduction, and rapid convergence. Simulation and experimental findings confirm that the proposed observer enhances sensorless ventilation performance, making it ideal for industrial applications requiring reliability, cost-effectiveness, and accuracy.https://www.mdpi.com/2076-3417/15/9/4927super twisted sliding mode observer (STSMO)induction motor drivesensorless controlsliding mode controlstate estimationmotor speed |
| spellingShingle | Prince Byungun Yoon Super Twisted Sliding Mode Observer for Enhancing Ventilation Drive Performance Applied Sciences super twisted sliding mode observer (STSMO) induction motor drive sensorless control sliding mode control state estimation motor speed |
| title | Super Twisted Sliding Mode Observer for Enhancing Ventilation Drive Performance |
| title_full | Super Twisted Sliding Mode Observer for Enhancing Ventilation Drive Performance |
| title_fullStr | Super Twisted Sliding Mode Observer for Enhancing Ventilation Drive Performance |
| title_full_unstemmed | Super Twisted Sliding Mode Observer for Enhancing Ventilation Drive Performance |
| title_short | Super Twisted Sliding Mode Observer for Enhancing Ventilation Drive Performance |
| title_sort | super twisted sliding mode observer for enhancing ventilation drive performance |
| topic | super twisted sliding mode observer (STSMO) induction motor drive sensorless control sliding mode control state estimation motor speed |
| url | https://www.mdpi.com/2076-3417/15/9/4927 |
| work_keys_str_mv | AT prince supertwistedslidingmodeobserverforenhancingventilationdriveperformance AT byungunyoon supertwistedslidingmodeobserverforenhancingventilationdriveperformance |