Microcomputer Control of Switched Reluctance Motor

Bose, B.K.; Miller, T.J.E.; Szczesny, P.M.; Bicknell, William

doi:10.1109/tia.1986.4504782

Cited by 187 publications

(42 citation statements)

References 5 publications

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“…For the strategy called "torque demand" recognized as having a weak dynamic response for variable winds, there are several publications [6][7][8][9][10][11][12][13][14][15][16]. As an alternative to the torque control strategy, a speed control strategy represented in Fig.…”

Section: Speed Control Of Srg Systemmentioning

confidence: 99%

New Approach for Optimizing Control of Switched Reluctance Generator

Rebbah¹,

Bentounsi²,

Benalla³

2010

IJCEE

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Abstract-This paper presents a new switching approach that determines the optimal control of the Switched Reluctance Generator (SRG) for accomplishing maximum energy conversions. The proposed method is based on the novel concept of "ideal base speed flux/current curve" that optimizes the conduction angles in the mode of single-pulse and Chopping Current Control (CCC) operations. To validate the proposed control technique, simulation results are provided. The practicality of the controller is illustrated by a variable speed wind application of a 6/4 SRG.

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Section: Speed Control Of Srg Systemmentioning

confidence: 99%

New Approach for Optimizing Control of Switched Reluctance Generator

Rebbah¹,

Bentounsi²,

Benalla³

2010

IJCEE

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“…DRIVE SYSTEM Block scheme of the examined drive system with SRM (switched reluctance motor) [7], [8] is shown in Fig. 5.…”

Section: T5-10mentioning

confidence: 99%

Adaptive PDF speed control for motion control

Számel

2010

Proceedings of 14th International Power Electronics and Motion Control Conference EPE-PEMC 2010

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“…It follows from the operation principle of SRM [1] [4] that its phase windings are to be excited at a well determined angle of rotor position in an appropriate order. This is why a Rotor Position Sensor is to be mounted on the shaft of the motor.…”

Section: Fig 1: Block Scheme Of Drive Systemmentioning

confidence: 99%

“…Fundamentally, SRM drives have two control loops [1], the outer one is the speed loop, Speed Controller and the inner one is the current loop, Current Controller. The output signal of the Speed Controller serves for a Current reference signal of the Current Controller.…”

Section: Fig 1: Block Scheme Of Drive Systemmentioning

confidence: 99%

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Convergence test of model reference signal adaptive SRM drives

Számel

2007

2007 European Conference on Power Electronics and Applications

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Nowadays switched reluctance motor (SRM) drives have been widely used in the field of controlled electric motor drives. The paper proposes a model reference signal adaptive control method for SRM drives. The main goal of the drive control is to improve dynamical performance by compensating for the motor nonlinearities. The adaptation practically works only in a relatively narrow speed error track (adaptation range) which is equal to approximately 20-100 revolution/min absolute value of speed error. The drawback of this limitation is the relatively short time for the algorithm to operate. At the same time the convergence of the algorithm is extremely fast which significantly reduces the effect of this drawback. Two more important advantages emerge when adaptation works only with small speed errors. First of all the controller at changing drive parameters adapts to parameters around the value specified by speed reference signal which also assists to speed the adaptation. The other significant positive effect is the disappearing of the problem coming from nonlinear systems that the response of the system can even differ in its character when the value, amplitude of the reference signal is changed. The convergence test of this control method was performed in an experimental drive system. A SRM of 6/8 pole and 4 kW rated power was used. Simulation and experimental results are presented.

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Microcomputer Control of Switched Reluctance Motor

Cited by 187 publications

References 5 publications

New Approach for Optimizing Control of Switched Reluctance Generator

New Approach for Optimizing Control of Switched Reluctance Generator

Adaptive PDF speed control for motion control

Convergence test of model reference signal adaptive SRM drives

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