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Torque Ripple Minimization of Switched Reluctance Motors Using Speed Signal Based Phase Current Profiling

Mitra, Rakesh
http://rave.ohiolink.edu/etdc/view?acc_num=akron1415968334

Abstract Details

2014, Master of Science in Engineering, University of Akron, Electrical Engineering.
The potential applications of an SRM as industrial drives are mainly inhibited due to the high torque ripple. This thesis presents a new control algorithm for torque ripple minimization of Switched Reluctance Machines (SRM). SRMs have significant ripple in the total output torque production due to the unique physical structure and torque production mechanism. Each phase of an SRM is excited separately and sequentially.During phase commutation the torque production responsibility does not transit from one phase to another phase instantly which causes torque ripple. The amount of torque ripple is significantly high if no corrective measures are taken to smooth it. The high torque ripple of SRM causes vibration and acoustic noise in the motor drive system. The contemporary approaches to minimize the torque ripple of SRM are based on improved machine design or controller design or combination of both. In this thesis the focus is to minimize torque ripple through new controller design. It is a challenge to reduce the torque ripple through control techniques, as the characteristic of the machine is quite nonlinear. Estimating or measuring the torque is either complex or costly. Since the torque ripple can manifest itself on the speed information, the speed controller can achieve torque ripple reduction to some extent, but the bandwidth of the controller is limited by the system inertia. In this work the ripple on the speed information is used in a closed-loop control, to minimize the torque ripple during phase commutation. The speed signal is obtained through a speed sensor or an estimator, which is less complicated and more cost-effective than using a torque sensor. In spite of being filtered by the inertia, the ripple information can be extracted from the speed signal using signal processing. This thesis shows that a properly extracted signal has an acceptable correlation in terms of shape with the torque ripple. The acquired ripple information is used for shaping the SRM phase current during commutation and the results show that the proper shaping of current during the commutation portion could minimize the torque ripple significantly.
Yilmaz Sozer, Dr. (Advisor)
Malik Elbuluk, Dr. (Committee Member)
Tom Hartley, Dr. (Committee Member)
122 p.
Electrical Engineering
SRM, Speed Signal Processing, Current profile

Recommended Citations

Citations

  • Mitra, R. (2014). Torque Ripple Minimization of Switched Reluctance Motors Using Speed Signal Based Phase Current Profiling [Master's thesis, University of Akron]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=akron1415968334

    APA Style (7th edition)

  • Mitra, Rakesh. Torque Ripple Minimization of Switched Reluctance Motors Using Speed Signal Based Phase Current Profiling. 2014. University of Akron, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=akron1415968334.

    MLA Style (8th edition)

  • Mitra, Rakesh. "Torque Ripple Minimization of Switched Reluctance Motors Using Speed Signal Based Phase Current Profiling." Master's thesis, University of Akron, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=akron1415968334

    Chicago Manual of Style (17th edition)

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This open access ETD is published by University of Akron and OhioLINK.