Modelling and Analysis of 8/6 Switched Reluctance Motor With Pi Controller

Nagesh, K. N.

doi:10.26782/jmcms.spl.5/2020.01.00029

Cited by 2 publications

(1 citation statement)

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“…According to this, the combination of calculations including mechanical, electromagnetic, and electrical design as well as laboratory tests and appropriate investments play an essential role in the development of a successful SRM design. Nagesh et al [2] modeled and analyzed the SRM 8/6 with a simple PI controller and showed after simulation that torque ripples were reduced for different load values.…”

Section: Introductionmentioning

confidence: 99%

Smart Controls for Switched Reluctance Motor 8/6 Used for Electric Vehicles Underground Mining Security

Rechach¹,

Ghoudelbourk²,

Zoubir³

et al. 2021

EJEE

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Switched reluctance motors (SRM) are a type of electromagnetic machine that has piqued the interest of manufacturers, as opposed to induction, brushless, or permanent magnet machines. This is because the rotor is simple, robust, and lacks coils, windings, and permanent magnets. It can also operate in a wide range of power in the electric vehicle's drive, even in extreme conditions such as underground mines, ensuring a longer life of service. However, due to the toothed shape of the rotor, the SRM is characterized by vibration and acoustic noise. To solve this problem to better adapt the SRM to the electric vehicle, we propose to use intelligent techniques such as the controller (ANN) and the fractional order controller (PI α ). This article compares two intelligent speed controllers that use direct torque control (DTC) to reduce torque ripples. As a result, when associated with direct torque control, the Fractional Order Controller (PI α ) outperforms the Artificial Neural Network (ANN).

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Section: Introductionmentioning

confidence: 99%