High-grade control of switched reluctance machines

Kjær, P.C.; Gribble, J.J.; Miller, Tim

doi:10.1109/ias.1996.557002

Cited by 101 publications

(20 citation statements)

References 13 publications

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“…This sensor has been used to Fig. 3 11 To perform the minimization, a gradient optimization method is implemented [28]. The general iterative gradient method is applied as (18) where k indicates the iteration number, x indicates the variables being optimized, and f(x) indicates the function being optimized and a is a positive scalar known as the step size.…”

Section: Piezoelectric Vibration Sensormentioning

confidence: 99%

“…Over the past decade, a significant body of research has appeared that develops excitation strategies to mitigate torque harmonics. Research has concentrated on two main areas: open-loop control [1][2][3][4][5][6][7] and estimation-based feedback control [8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23][24]. Both require detailed knowledge of machine parameters and are therefore sensitive to parameter variation.…”

Section: Introductionmentioning

confidence: 99%

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Feedback-Based Mitigation of Torque Harmonics in Switched Reluctance Motor Drives

Koenig

Pekarek

2007

APEC 07 - Twenty-Second Annual IEEE Applied Power Electronics Conference and Exposition

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An issue that often arises in switched reluctance machine (SRM) drives is excessive vibration/noise created by harmonics of electromagnetic torque (torque ripple). In this research, a closed-loop control technique is developed to eliminate torque harmonics produced by a SRM. A piezoelectric washer has been designed and incorporated into a SRM drive system to sense harmonics of torque-ripple-induced vibrations. Simulation and laboratory experiments are presented to validate that the sensor output is correlated to torque ripple. To mitigate the undesirable torque harmonics, a gradient algorithm is used to minimize the measured vibration harmonics by adjusting current magnitude components. The control is discussed in detail and simulation and hardware results are presented.

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Section: Piezoelectric Vibration Sensormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Feedback-Based Mitigation of Torque Harmonics in Switched Reluctance Motor Drives

Koenig

Pekarek

2007

APEC 07 - Twenty-Second Annual IEEE Applied Power Electronics Conference and Exposition

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“…Miller (2002) has made a few generic observations on the characteristics of successful products that use switched reluctance motors. Kjaer et al (1997) has formulated the objectives associated with high-grade torque control of switched reluctance motors (SRM's). A systematic approach to wave forms design has been developed and evaluated using both simulation and experimental testing of an SRM servo-drive system.…”

Section: Introductionmentioning

confidence: 99%

Speed control of SR motor by self-tuning fuzzy PI controller with artificial neural network

Karakaş

Vardarbasi²

2007

Sadhana

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In this work, the dynamic model, flux-current-rotor position and torquecurrent-rotor position values of the switched reluctance motor (SRM) are obtained in MATLAB/Simulink. Motor control speed is achieved by self-tuning fuzzy PI (Proportional Integral) controller with artificial neural network tuning (NSTFPI). Performance of NSTFPI controller is compared with performance of fuzzy logic (FL) and fuzzy logic PI (FLPI) controllers in respect of rise time, settling time, overshoot and steady state error.

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“…To satisfy these specifications, a high performance ripple-free dynamic torque controller for the SRM must be designed. Techniques for the reduction of torque ripple in SRM's have been a very active area of research for the past decade [9,10,11,12,13,14,15,16,17,18,19,20]. Some researchers have taken such measures as the compensation or optimization of turn-on angle and turn-off angle [9,11], and a dualamplitude current chopping control method [10] to improve the classic control strategies.…”

Section: Introductionmentioning

confidence: 99%

Robust control of switched reluctance motors for direct-drive robotic applications

Cao

Chen

Zhou

et al. 2003

The International Journal of Advanced Manufacturing Technology

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This paper discusses the robust control of switched reluctance motors (SRM's) for driving manipulators directly. A mathematical model of the SRM with unmodeled dynamics is proposed which describes the relationship among electromagnetic torque, rotor angular position, and phase currents. The parameters and boundaries of the unmodeled dynamics in this model are estimated by the least square approximation method. Based on this model, a robust controller is designed. Compared with the ordinary controller, the robust controller can produce an auxiliary control input to overcome the influence of model uncertainties on system performance. Overall stability of the system is proven using Lyapunov techniques. Following a theoretical analysis, some related experiments are introduced. The experimental results show that the controller provides a steady-state performance although the system contains unmodeled certainties.

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High-grade control of switched reluctance machines

Cited by 101 publications

References 13 publications

Feedback-Based Mitigation of Torque Harmonics in Switched Reluctance Motor Drives

Feedback-Based Mitigation of Torque Harmonics in Switched Reluctance Motor Drives

Speed control of SR motor by self-tuning fuzzy PI controller with artificial neural network

Robust control of switched reluctance motors for direct-drive robotic applications

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