An Online Torque Ripple Minimization Technique for IPMSM Drives: Fuzzy System-Based d-Axis Current Design Approach

This article proposes an online torque ripple minimization (TRM) technique using a fuzzy system (FS)-based d -axis current design for interior permanent magnet synchronous motor (IPMSM) drives. Existing control-based TRM techniques generally employ optimization algorithms to design the dq -axis curr...

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Published inIEEE transactions on industrial electronics (1982) Vol. 68; no. 12; pp. 11794 - 11805
Main Authors Basit, Bilal Abdul, Choi, Han Ho, Jung, Jin-Woo
Format Journal Article
LanguageEnglish
Published New York IEEE 01.12.2021
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
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Algorithms
Complexity
Computational efficiency
Design
Design optimization
Digital signal processors
Electromagnetics
fuzzy system (FS)
Harmonic analysis
interior permanent magnet synchronous motor (IPMSM)
Microprocessors
Optimization algorithms
Permanent magnet motors
Permanent magnets
Ripples
Signal processing
Signal processing algorithms
Stators
Synchronous motors
Torque
torque ripple minimization (TRM)
Transmission line measurements
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Abstract This article proposes an online torque ripple minimization (TRM) technique using a fuzzy system (FS)-based d -axis current design for interior permanent magnet synchronous motor (IPMSM) drives. Existing control-based TRM techniques generally employ optimization algorithms to design the dq -axis currents that attenuate the torque ripples. However, complex iterations applied for the optimization algorithms increase computational complexity, which limits the applicability of such TRM techniques under transient state of the IPMSM drives. Unlike with existing methods, the proposed TRM technique designs reference d -axis current using a computationally efficient algorithm and remarkably minimizes the torque ripples. Moreover, the reference d -axis current is designed online based on an FS to keep the stator current of the IPMSM inside the rated value, especially at the transient state. The proposed TRM strategy is validated through simulation and experimental investigations by using a MATLAB/Simulink software and a prototype IPMSM drive with TI TMS320F28335 digital signal processor. Comparative theoretical and experimental investigations prove that the proposed TRM technique is computationally efficient and ensures more reduced ripples in the electromagnetic torque and dq -axis currents with d- axis current significantly close to zero than conventional maximum torque per ampere based technique without TRM and conventional current control-based TRM technique under critical load conditions.
AbstractList This article proposes an online torque ripple minimization (TRM) technique using a fuzzy system (FS)-based d -axis current design for interior permanent magnet synchronous motor (IPMSM) drives. Existing control-based TRM techniques generally employ optimization algorithms to design the dq -axis currents that attenuate the torque ripples. However, complex iterations applied for the optimization algorithms increase computational complexity, which limits the applicability of such TRM techniques under transient state of the IPMSM drives. Unlike with existing methods, the proposed TRM technique designs reference d -axis current using a computationally efficient algorithm and remarkably minimizes the torque ripples. Moreover, the reference d -axis current is designed online based on an FS to keep the stator current of the IPMSM inside the rated value, especially at the transient state. The proposed TRM strategy is validated through simulation and experimental investigations by using a MATLAB/Simulink software and a prototype IPMSM drive with TI TMS320F28335 digital signal processor. Comparative theoretical and experimental investigations prove that the proposed TRM technique is computationally efficient and ensures more reduced ripples in the electromagnetic torque and dq -axis currents with d- axis current significantly close to zero than conventional maximum torque per ampere based technique without TRM and conventional current control-based TRM technique under critical load conditions.
Author Choi, Han Ho
Jung, Jin-Woo
Basit, Bilal Abdul
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Snippet This article proposes an online torque ripple minimization (TRM) technique using a fuzzy system (FS)-based d -axis current design for interior permanent magnet...
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StartPage 11794
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Algorithms
Complexity
Computational efficiency
Design
Design optimization
Digital signal processors
Electromagnetics
fuzzy system (FS)
Harmonic analysis
interior permanent magnet synchronous motor (IPMSM)
Microprocessors
Optimization algorithms
Permanent magnet motors
Permanent magnets
Ripples
Signal processing
Signal processing algorithms
Stators
Synchronous motors
Torque
torque ripple minimization (TRM)
Transmission line measurements
Title An Online Torque Ripple Minimization Technique for IPMSM Drives: Fuzzy System-Based d-Axis Current Design Approach
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