Energy Optimal Control of Electromechanical Systems: Trade-off Demands
This study presents research on the impact of the selection of the required manoeuvre time on the energy consumption of an electromechanical system, using the example of a train. Two different energy conservation control strategies [energy optimal control (EOC) and energy near-optimal control (ENOC)...
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| Format: | Article |
| Language: | English |
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Sciendo
2025-06-01
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| Series: | Power Electronics and Drives |
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| Online Access: | https://doi.org/10.2478/pead-2025-0012 |
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| author | Ftorek Branislav Vavrúš Vladimír Šimon Ján Vittek Ján |
| author_facet | Ftorek Branislav Vavrúš Vladimír Šimon Ján Vittek Ján |
| author_sort | Ftorek Branislav |
| collection | DOAJ |
| description | This study presents research on the impact of the selection of the required manoeuvre time on the energy consumption of an electromechanical system, using the example of a train. Two different energy conservation control strategies [energy optimal control (EOC) and energy near-optimal control (ENOC)] were applied to assess their consumption as a function of recommended travel time. The optimal control variables are provided by an energy-saving reference position generator, whose outputs are then faithfully followed using a feedback control based on field orientation, and this is accomplished with a matched zero dynamic lag pre-compensator, yielding the required closed-loop dynamics. The load torque, consisting of constant, linear and quadratic components as a function of speed, is treated as a state variable. The potential for energy savings by reducing the speed of such systems was verified through MATLAB simulations. As a representative controlled electromechanical system, a suburban train unit was chosen for simulations to evaluate the energy consumption of both control approaches. |
| format | Article |
| id | doaj-art-d6b6f921aef64fa881492d8a952031b9 |
| institution | Kabale University |
| issn | 2543-4292 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Sciendo |
| record_format | Article |
| series | Power Electronics and Drives |
| spelling | doaj-art-d6b6f921aef64fa881492d8a952031b92025-08-25T06:12:05ZengSciendoPower Electronics and Drives2543-42922025-06-0110117718810.2478/pead-2025-0012Energy Optimal Control of Electromechanical Systems: Trade-off DemandsFtorek Branislav0Vavrúš Vladimír1Šimon Ján2Vittek Ján3Department of Applied Mathematics, Faculty of Mechanical Engineering, University of Žilina, 010 26Žilina, SlovakiaDepartment of Power Systems and Electric Drives, Faculty of Electrical Engineering and Information Technology, University of Žilina, 010 26Žilina, SlovakiaDepartment of Applied Mathematics, Faculty of Mechanical Engineering, University of Žilina, 010 26Žilina, SlovakiaDepartment of Applied Mathematics, Faculty of Mechanical Engineering, University of Žilina, 010 26Žilina, SlovakiaThis study presents research on the impact of the selection of the required manoeuvre time on the energy consumption of an electromechanical system, using the example of a train. Two different energy conservation control strategies [energy optimal control (EOC) and energy near-optimal control (ENOC)] were applied to assess their consumption as a function of recommended travel time. The optimal control variables are provided by an energy-saving reference position generator, whose outputs are then faithfully followed using a feedback control based on field orientation, and this is accomplished with a matched zero dynamic lag pre-compensator, yielding the required closed-loop dynamics. The load torque, consisting of constant, linear and quadratic components as a function of speed, is treated as a state variable. The potential for energy savings by reducing the speed of such systems was verified through MATLAB simulations. As a representative controlled electromechanical system, a suburban train unit was chosen for simulations to evaluate the energy consumption of both control approaches.https://doi.org/10.2478/pead-2025-0012energy near-optimal position controlfield-oriented controldynamic lag pre-compensatortrain position control |
| spellingShingle | Ftorek Branislav Vavrúš Vladimír Šimon Ján Vittek Ján Energy Optimal Control of Electromechanical Systems: Trade-off Demands Power Electronics and Drives energy near-optimal position control field-oriented control dynamic lag pre-compensator train position control |
| title | Energy Optimal Control of Electromechanical Systems: Trade-off Demands |
| title_full | Energy Optimal Control of Electromechanical Systems: Trade-off Demands |
| title_fullStr | Energy Optimal Control of Electromechanical Systems: Trade-off Demands |
| title_full_unstemmed | Energy Optimal Control of Electromechanical Systems: Trade-off Demands |
| title_short | Energy Optimal Control of Electromechanical Systems: Trade-off Demands |
| title_sort | energy optimal control of electromechanical systems trade off demands |
| topic | energy near-optimal position control field-oriented control dynamic lag pre-compensator train position control |
| url | https://doi.org/10.2478/pead-2025-0012 |
| work_keys_str_mv | AT ftorekbranislav energyoptimalcontrolofelectromechanicalsystemstradeoffdemands AT vavrusvladimir energyoptimalcontrolofelectromechanicalsystemstradeoffdemands AT simonjan energyoptimalcontrolofelectromechanicalsystemstradeoffdemands AT vittekjan energyoptimalcontrolofelectromechanicalsystemstradeoffdemands |