Electric Vehicle Transient Speed Control Based on Vector Control FM-PI Speed Controller for Induction Motor
The speed control of induction machines for multiple-speed handling is critical. When the vector control method is applied to induction machines, it has a significant impact on speed utilization. This strategy of operating the machine at a fixed predefined speed mode presents better results for elec...
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| Format: | Article |
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MDPI AG
2022-08-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/12/17/8694 |
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| author | Humayun Salahuddin Kashif Imdad Muhammad Umar Chaudhry Muhammad Munwar Iqbal Vadim Bolshev Aamir Hussain Aymen Flah Vladimir Panchenko Marek Jasiński |
| author_facet | Humayun Salahuddin Kashif Imdad Muhammad Umar Chaudhry Muhammad Munwar Iqbal Vadim Bolshev Aamir Hussain Aymen Flah Vladimir Panchenko Marek Jasiński |
| author_sort | Humayun Salahuddin |
| collection | DOAJ |
| description | The speed control of induction machines for multiple-speed handling is critical. When the vector control method is applied to induction machines, it has a significant impact on speed utilization. This strategy of operating the machine at a fixed predefined speed mode presents better results for electric vehicles. An effective model for a speed control loop is proposed in this paper, using a fixed-mode proportional integral (FM-PI) controller based on an upper and lower limit torque limiter. The power supply is fed using a lithium-ion battery with an inverter-fed mechanism. Moreover, the proposed model is validated using simulations with user-defined speed modes (40, 60, and 80 km/h). These speed modes, with different torque commands, have been considered for advanced modeling. In this model, torque is developed via a closed-loop control operation to attain the required speed assigned by the user. The sensors are used to collect data, and a multiple regression algorithm analyzes the dataset to predict input parameters (voltage (V<sub>ab</sub>), phase current (I), and torque (T)) required to achieve the desired speed mode. The efficiency of the proposed model is compared with induction motors bearing the same rating for the loaded and unloaded speed test. Effective machine parameter control is achieved by reaching the desired performance levels of 94.37% and 78.30% in a shorter time for the loaded and unloaded modes. A speed response comparison of the FOPID, KW-WOA-PID, SVR-PI, and FM-PI controller model simulation results indicates that the FM-PI speed controller guarantees better performance and displays an improvement in rising time and settling time, compared to other controllers. The implementation of different driving scenarios proves the model’s effectiveness for robust speed applications. |
| first_indexed | 2024-03-10T03:01:54Z |
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| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T03:01:54Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-8c95b93950a94713b89a691362a8c27b2023-11-23T12:45:13ZengMDPI AGApplied Sciences2076-34172022-08-011217869410.3390/app12178694Electric Vehicle Transient Speed Control Based on Vector Control FM-PI Speed Controller for Induction MotorHumayun Salahuddin0Kashif Imdad1Muhammad Umar Chaudhry2Muhammad Munwar Iqbal3Vadim Bolshev4Aamir Hussain5Aymen Flah6Vladimir Panchenko7Marek Jasiński8Department of Electrical Engineering, HITEC University, Taxila 47080, PakistanDepartment of Electrical Engineering, HITEC University, Taxila 47080, PakistanDepartment of Computer Science, MNS-University of Agriculture, Multan 60000, PakistanDepartment of Computer Science, UET Taxila, Taxila 47080, PakistanLaboratory of Intelligent Agricultural Machines and Complexes, Don State Technical University, 344000 Rostov-on-Don, RussiaDepartment of Computer Science, MNS-University of Agriculture, Multan 60000, PakistanNational Engineering School of Gabès, Processes, Energy, Environment and Electrical Systems, University of Gabès, LR18ES34, Gabes 6072, TunisiaDepartment of Theoretical and Applied Mechanics, Russian University of Transport, 127994 Moscow, RussiaWWSIS “Horyzont”, 54-239 Wrocław, PolandThe speed control of induction machines for multiple-speed handling is critical. When the vector control method is applied to induction machines, it has a significant impact on speed utilization. This strategy of operating the machine at a fixed predefined speed mode presents better results for electric vehicles. An effective model for a speed control loop is proposed in this paper, using a fixed-mode proportional integral (FM-PI) controller based on an upper and lower limit torque limiter. The power supply is fed using a lithium-ion battery with an inverter-fed mechanism. Moreover, the proposed model is validated using simulations with user-defined speed modes (40, 60, and 80 km/h). These speed modes, with different torque commands, have been considered for advanced modeling. In this model, torque is developed via a closed-loop control operation to attain the required speed assigned by the user. The sensors are used to collect data, and a multiple regression algorithm analyzes the dataset to predict input parameters (voltage (V<sub>ab</sub>), phase current (I), and torque (T)) required to achieve the desired speed mode. The efficiency of the proposed model is compared with induction motors bearing the same rating for the loaded and unloaded speed test. Effective machine parameter control is achieved by reaching the desired performance levels of 94.37% and 78.30% in a shorter time for the loaded and unloaded modes. A speed response comparison of the FOPID, KW-WOA-PID, SVR-PI, and FM-PI controller model simulation results indicates that the FM-PI speed controller guarantees better performance and displays an improvement in rising time and settling time, compared to other controllers. The implementation of different driving scenarios proves the model’s effectiveness for robust speed applications.https://www.mdpi.com/2076-3417/12/17/8694induction machineelectric vehicleLi-ion batteryinvertermodeling and simulationspeed control |
| spellingShingle | Humayun Salahuddin Kashif Imdad Muhammad Umar Chaudhry Muhammad Munwar Iqbal Vadim Bolshev Aamir Hussain Aymen Flah Vladimir Panchenko Marek Jasiński Electric Vehicle Transient Speed Control Based on Vector Control FM-PI Speed Controller for Induction Motor Applied Sciences induction machine electric vehicle Li-ion battery inverter modeling and simulation speed control |
| title | Electric Vehicle Transient Speed Control Based on Vector Control FM-PI Speed Controller for Induction Motor |
| title_full | Electric Vehicle Transient Speed Control Based on Vector Control FM-PI Speed Controller for Induction Motor |
| title_fullStr | Electric Vehicle Transient Speed Control Based on Vector Control FM-PI Speed Controller for Induction Motor |
| title_full_unstemmed | Electric Vehicle Transient Speed Control Based on Vector Control FM-PI Speed Controller for Induction Motor |
| title_short | Electric Vehicle Transient Speed Control Based on Vector Control FM-PI Speed Controller for Induction Motor |
| title_sort | electric vehicle transient speed control based on vector control fm pi speed controller for induction motor |
| topic | induction machine electric vehicle Li-ion battery inverter modeling and simulation speed control |
| url | https://www.mdpi.com/2076-3417/12/17/8694 |
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