Robust Predictive Current Control Using Luenberger Observer Applied to an Induction Motor for Agricultural Electrical Traction
Induction motors are broadly used in various industrial applications due to their durability, simplicity, and cost-effectiveness. In agricultural electrical traction systems, they are crucial for providing reliable, efficient, and high-torque performance. Their ability to deliver consistent power at...
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| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Access |
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| Online Access: | https://ieeexplore.ieee.org/document/11091289/ |
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| author | Gabriel Caramori Igor Oliani Angelo S. Lunardi Alfeu J. Sguarezi Filho |
| author_facet | Gabriel Caramori Igor Oliani Angelo S. Lunardi Alfeu J. Sguarezi Filho |
| author_sort | Gabriel Caramori |
| collection | DOAJ |
| description | Induction motors are broadly used in various industrial applications due to their durability, simplicity, and cost-effectiveness. In agricultural electrical traction systems, they are crucial for providing reliable, efficient, and high-torque performance. Their ability to deliver consistent power at varying speeds and loads makes them ideal for such applications, where robust and low-maintenance solutions are essential for operational efficiency. However, parameter mismatches can compromise the performance of the motor control. Advanced control strategies, such as finite control set-model predictive control (FCS-MPC), have been developed to address these challenges. This paper introduces a novel robust predictive current control method for induction motors using an improved Luenberger observer to cope with parameter mismatches. By deriving a discrete-time voltage model from the motor’s dynamic model, a Luenberger observer with an inverse linear gain is integrated to predict future stator current and disturbance values, thereby improving the controller’s performance under parameter mismatches. Unlike traditional FCS-MPC approaches, this method evaluates the stator voltage in the cost function rather than using current, torque, or magnetic flux. Experimental evaluations with the induction motor under steady-state and dynamic conditions demonstrate the proposed method’s superior robustness compared to traditional predictive current control in electrical traction applications. The new method significantly reduces oscillations under substantial variations in inductance and resistance, confirming its effectiveness as a prospective solution. |
| format | Article |
| id | doaj-art-d84772fbecaf4ad784c0633e3375ab09 |
| institution | Kabale University |
| issn | 2169-3536 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj-art-d84772fbecaf4ad784c0633e3375ab092025-08-20T03:41:50ZengIEEEIEEE Access2169-35362025-01-011313229313230210.1109/ACCESS.2025.359201811091289Robust Predictive Current Control Using Luenberger Observer Applied to an Induction Motor for Agricultural Electrical TractionGabriel Caramori0https://orcid.org/0009-0004-4110-425XIgor Oliani1https://orcid.org/0000-0002-9425-2940Angelo S. Lunardi2https://orcid.org/0000-0003-4743-8117Alfeu J. Sguarezi Filho3https://orcid.org/0000-0001-9981-436XCECS Department, Federal University of ABC, Santo André, BrazilCECS Department, Federal University of ABC, Santo André, BrazilCECS Department, Federal University of ABC, Santo André, BrazilCECS Department, Federal University of ABC, Santo André, BrazilInduction motors are broadly used in various industrial applications due to their durability, simplicity, and cost-effectiveness. In agricultural electrical traction systems, they are crucial for providing reliable, efficient, and high-torque performance. Their ability to deliver consistent power at varying speeds and loads makes them ideal for such applications, where robust and low-maintenance solutions are essential for operational efficiency. However, parameter mismatches can compromise the performance of the motor control. Advanced control strategies, such as finite control set-model predictive control (FCS-MPC), have been developed to address these challenges. This paper introduces a novel robust predictive current control method for induction motors using an improved Luenberger observer to cope with parameter mismatches. By deriving a discrete-time voltage model from the motor’s dynamic model, a Luenberger observer with an inverse linear gain is integrated to predict future stator current and disturbance values, thereby improving the controller’s performance under parameter mismatches. Unlike traditional FCS-MPC approaches, this method evaluates the stator voltage in the cost function rather than using current, torque, or magnetic flux. Experimental evaluations with the induction motor under steady-state and dynamic conditions demonstrate the proposed method’s superior robustness compared to traditional predictive current control in electrical traction applications. The new method significantly reduces oscillations under substantial variations in inductance and resistance, confirming its effectiveness as a prospective solution.https://ieeexplore.ieee.org/document/11091289/Electric tractionfinite control setrobust predictive current controldiscrete Luenberger observerinduction motorparameter mismatch |
| spellingShingle | Gabriel Caramori Igor Oliani Angelo S. Lunardi Alfeu J. Sguarezi Filho Robust Predictive Current Control Using Luenberger Observer Applied to an Induction Motor for Agricultural Electrical Traction IEEE Access Electric traction finite control set robust predictive current control discrete Luenberger observer induction motor parameter mismatch |
| title | Robust Predictive Current Control Using Luenberger Observer Applied to an Induction Motor for Agricultural Electrical Traction |
| title_full | Robust Predictive Current Control Using Luenberger Observer Applied to an Induction Motor for Agricultural Electrical Traction |
| title_fullStr | Robust Predictive Current Control Using Luenberger Observer Applied to an Induction Motor for Agricultural Electrical Traction |
| title_full_unstemmed | Robust Predictive Current Control Using Luenberger Observer Applied to an Induction Motor for Agricultural Electrical Traction |
| title_short | Robust Predictive Current Control Using Luenberger Observer Applied to an Induction Motor for Agricultural Electrical Traction |
| title_sort | robust predictive current control using luenberger observer applied to an induction motor for agricultural electrical traction |
| topic | Electric traction finite control set robust predictive current control discrete Luenberger observer induction motor parameter mismatch |
| url | https://ieeexplore.ieee.org/document/11091289/ |
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