2020
DOI: 10.1049/iet-epa.2019.0027
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Abstract: Referencing to the correlation between electromagnetic torque and winding current of switched reluctance motor (SRM), a novel adaptive fuzzy control method with segmented harmonic currents injection for SRM is presented in this study. The proposed method divides the conduction interval of each phase into n segments and injects the nth harmonic current into the reference current of each phase. The coefficient of the harmonic current in each section is automatically adjusted by fuzzy control strategy according t… Show more

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Cited by 11 publications
(5 citation statements)
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“…Proper current harmonics are determined though numerical optimization in order to reduce the torque ripple and radial force ripple simultaneously in [121] and [122]. A segmented harmonic current was optimized online through fuzzy logic to suppress torque ripple in [123].…”
Section: ) Harmonic Current Injectionmentioning
confidence: 99%
“…Proper current harmonics are determined though numerical optimization in order to reduce the torque ripple and radial force ripple simultaneously in [121] and [122]. A segmented harmonic current was optimized online through fuzzy logic to suppress torque ripple in [123].…”
Section: ) Harmonic Current Injectionmentioning
confidence: 99%
“…To further speed up the tracking, scholars also proposed a reinforcement learning method [8]. M. Y. Ma adopted fuzzy control strategy to automatically adjust the harmonic current coefficient of each section [9]. F. Peng proposed an adaptive controller, which has approximately the same dynamic response and accuracy as the hysteresis controller [10].…”
Section: Introductionmentioning
confidence: 99%
“…A current control method that injected the n-segment harmonic current during commutation was proposed in Ref. [19]. This method obtained the injected harmonic coefficients through fuzzy inference according to the torque error, which can reduce the torque ripple in a wide range of speed and load torque.…”
Section: Introductionmentioning
confidence: 99%
“…This method adjusts the three-phase reference current in real time to keep the output torque stable and improves the control accuracy, but it has higher requirements on the system hardware equipment. In addition to the above several control methods that can suppress the torque ripple of SRM, the references [14][15][16]19] also combined the neural network, fuzzy control and predictive control and SMC algorithm with control methods to obtain a more stable output torque.…”
Section: Introductionmentioning
confidence: 99%