Speed Control of 8/6 Switched Reluctance Motor with Torque Ripple Reduction Taking into Account Magnetic Saturation Effects

Labiod, Chouaib; Srairi, K.; Mahdad, Belkacem; Benchouia, Mohamed Toufik; Benbouzid, Mohamed

doi:10.1016/j.egypro.2015.07.530

Cited by 35 publications

(11 citation statements)

References 15 publications

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“…Here the error is reduced at the early iteration which proves that the selection of voltage vector from the vector table is precise and it results in the reduction of torque ripple and less computation time. The threshold and the weight are normally represented as th and W. GA used for training the network is implemented by mentioning the maximum number of thresholds and weights which are packed in n-dimensional vector 'M' as shown by (1).…”

Section: Modeling Of Genetic Neuro Controllermentioning

confidence: 99%

“…In the present scenario, the combination of robust and adaptive along with intelligent control appears to be the most important research accomplishment in the drive control area. The torque ripple along with the torque ripple is carried out by introducing direct instantaneous torque control [1]. The speed of the reluctance drive is regulated by using a novel adaptive TSK intelligent controller [2].…”

Section: Introductionmentioning

confidence: 99%

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Hybrid intelligent controller based torque ripple minimization in switched reluctance motor drive

Pushparajesh

Nandish²,

Marulasiddappa³

2021

Bulletin EEI

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An inherent torque ripple characterizes switched reluctance technology from conventional technology. The ultimate aim of this paper is to reduce the torque ripple of the switched reluctance motor drive using genetic neural network controller based direct torque scheme. In the proposed controller network appropriate bits of data are chosen for training and testing. The proper selection of the learning rate and momentum will help in weight adjustment. Here the error is reduced which proves that the selection of voltage vectors from the vector table is precise and its results in better torque response over a wide range of speed. The simulation results reveal that the torque ripples vary between 3.25% to 1.7% for the variation in load torque and the drive speed. The experimental results for the proposed controller reveal that the torque ripple varies between 3.7% to 2.1%. Both the simulation and hardware results illustrate the efficiency of the controller.

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Section: Modeling Of Genetic Neuro Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Hybrid intelligent controller based torque ripple minimization in switched reluctance motor drive

Pushparajesh

Nandish²,

Marulasiddappa³

2021

Bulletin EEI

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Section: Comparison Of Different Spindle Motor Technologiesmentioning

confidence: 99%

“…PMSMs and IMs are commonly used in spindles [5,12], whereas switched reluctance machines are not available in the industry [13]. These three types of electric machines are compared with different viewpoints in In spindle applications, a wide speed-torque range, high power density, high efficiency, and low cost can be considered as the crucial requirements [14].…”

Section: Comparison Of Different Spindle Motor Technologiesmentioning

confidence: 99%

High-power density switched reluctance machine development for high-speed spindle applications

2018

Turk J Elec Eng & Comp Sci

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In this study, a high-speed switched reluctance machine (HS-SRM) with cobalt-iron lamination material is proposed for spindle motors, which are used in computer numerical control machines. Wide torque-speed range, high power density, high efficiency, and low cost are the crucial issues in spindle applications. Three types of electric machine candidates, the permanent magnet synchronous machine (PMSM), induction machine (IM), and switched reluctance machine (SRM), are compared with their outstanding features. The SRM spindle motor will offer a more robust, reliable, compact, and cost-effective solution compared to the IM or PMSM spindle applications. Moreover, advancement on cobalt-iron laminations gives a chance to the SRM for competing with the PMSM and IM in terms of power density and efficiency. In this study, a high-speed SRM is designed, optimized, and analyzed. Its performance metrics are obtained based on torque-speed range and efficiency over a wide speed range. The proposed SRM is compared with existing industrial products in terms of power densities. Then the design is verified via experimental study. The results show that the HS-SRM with cobalt-iron lamination material offers ultimate power density and efficiency in wide operating conditions.

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“…[28], a PI speed controller with inner current control loop is designed for the operation of an SRM, and the best parameters of the PI controller are found manually, whereas in Ref. [29], the direct instantaneous torque control (DITC) is used as the inner loop of SRM speed control to minimize torque ripples. In Ref.…”

Section: Introductionmentioning

confidence: 99%

Optimal dynamic and steady‐state performance of switched reluctance motor using water cycle algorithm

El-Hay

Elkholy

2018

IEEJ Transactions Elec Engng

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Saliency and nonlinear magnetization characteristics of switched reluctance motor (SRM) are causes for its poor performance regarding torque ripples. This paper presents an innovative methodology based on a water cycle algorithm (WCA) for SRM speed control with minimum torque ripples and maximum torque per ampere. WCA enhances the dynamic and steady-state performance of this motor by optimizing a multiobjective function consisting of three parts. The first part is the integral time absolute error (ITAE) of motor speed with respect to a desired reference speed, the second part is an index for a motor torque smoothness factor (TSF), and the third part is the torque per ampere ratio (TAR). The desired output of WCA is the appropriate gains of the PI speed controller and optimum turn on and off angles of the H-bridge driving circuit. The results obtained from WCA are used to construct an adaptive controller-based artificial neural network (ANN) to automatically tune the gains of the PI speed controller and the turn on and off angles. The ANN controller ensures superior steady-state and dynamic motoring operation over a wide range of speed commands and different loads. The results of WCA are verified by other well-known meta-heuristic optimized techniques, such as the Genetic algorithm (GA). The suggested method exhibits an excellent speed transient response in addition to minimum torque ripples and maximum TAR.

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Speed Control of 8/6 Switched Reluctance Motor with Torque Ripple Reduction Taking into Account Magnetic Saturation Effects

Cited by 35 publications

References 15 publications

Hybrid intelligent controller based torque ripple minimization in switched reluctance motor drive

Hybrid intelligent controller based torque ripple minimization in switched reluctance motor drive

High-power density switched reluctance machine development for high-speed spindle applications

Optimal dynamic and steady‐state performance of switched reluctance motor using water cycle algorithm

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