2020 IEEE Power and Energy Conference at Illinois (PECI) 2020
DOI: 10.1109/peci48348.2020.9064643
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Q-Learning Scheduling for Tracking Current Control of Switched Reluctance Motor Drives

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Cited by 7 publications
(3 citation statements)
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“…As an alternative to the hysteresis controller, but still within the realm of model-independent strategies, intelligent control techniques have been investigated [37]- [42]. These strategies often rely on a learning mechanism in order to improve the controller's response.…”
Section: ) Intelligent Controllersmentioning
confidence: 99%
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“…As an alternative to the hysteresis controller, but still within the realm of model-independent strategies, intelligent control techniques have been investigated [37]- [42]. These strategies often rely on a learning mechanism in order to improve the controller's response.…”
Section: ) Intelligent Controllersmentioning
confidence: 99%
“…A scheduling mechanism is used in order to cope with the Q-learning algorithm limitations. Additional ILC based approaches are presented in [40], [41] and [42].…”
Section: ) Intelligent Controllersmentioning
confidence: 99%
“…However, the output voltage of the battery is soft and will drop with the increase in load. If the input DC voltage of the inverter can be adjusted to boost the voltage, the vehicle control performance will be effectively improved [5]- [10].…”
Section: Introductionmentioning
confidence: 99%