Modeling and Determination of Switched Reluctance Machine Nonlinearity

Kadi, Laila; Brouri, Adil; Ouannou, Abdelmalek; Lahdachi, Kenza

doi:10.1109/ccta41146.2020.9206337

Cited by 10 publications

(3 citation statements)

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“…Additionally, SRMs are characterized by prominent poles on both the stator and rotor, with coils wrapped around the stator poles and coupled in diametrically opposite pairs. (as shown in Figure 1) [16]. Switched Reluctance Motors (SRMs) offer several advantages in various applications due to their unique design and operating characteristics.…”

Section: Modelling Of Srms Mathematicallymentioning

confidence: 99%

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Feedback Linearization technique for Speed and Torque control of Switched Reluctance Machine

Oubouaddi,

Brouri,

Ouannou

et al. 2023

E3S Web of Conf.

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This paper proposes a feedback linearization controller design for torque ripple minimization and speed controller in switched reluctance motor (SRM) drive systems. A dynamic model system of equations in SRM is used to develop the proposed controller. The control strategy is formed by two loops. The first loop aims to control the machine's speed and generate the torque reference. In addition, the other loop is used to control the current to minimize torque ripple and the error between the desired speed and true speed. In order to validate our proposed control strategy, we used the MATLAB-Simulink toolbox. The proposed controller is being evaluated and compared to a conventional PI regulator to showcase its superior performance and advantages. Finally, the obtained results validate the proposed controller's robustness and efficiency in variable speed and load.

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Section: Modelling Of Srms Mathematicallymentioning

confidence: 99%

“…𝜕𝜃Where 𝑅 𝑘 is the machine phase winding resistance, 𝜕𝜃 online parameters are calculated based on analytical expressions developed in[17]. Taking into account the magnetic saturation (inductance maximum) we have…”

mentioning

confidence: 99%

Feedback Linearization technique for Speed and Torque control of Switched Reluctance Machine

Oubouaddi,

Brouri,

Ouannou

et al. 2023

E3S Web of Conf.

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“…These models can describe several practical systems. [3][4][5] In this paper, an identification approach is proposed for the Wiener-Hammerstein model (Figure 1). This consists of a static nonlinearity f (.)…”

Section: Introductionmentioning

confidence: 99%

Wiener–Hammerstein nonlinear system identification using spectral analysis

Brouri

2022

Intl J Robust & Nonlinear

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In this paper, a new approach is developed for the identification of Wiener-Hammerstein model structures. Unlike several other papers, the transfer functions of linear elements are of unknown structure. Indeed, the linear subsystems are not necessarily parametric or FIR. Furthermore, the function of nonlinear block can be nonparametric and noninvertible. The main challenge in identifying a Wiener-Hammerstein system lies in the separation of the dynamics over the input and the output LTI elements. Presently, this issue does not arise, without any conditions being imposed on the frequency band. Then, a two-stage identification method is suggested. Firstly, the system is excited by a set of constant inputs to capture the system nonlinearity. In the second stage, an identification approach based on the spectral analysis and using periodic input signals is developed to determine the linear elements parameters. In the present method, very interesting concepts are used, like the Fourier decomposition, the frequency approach and the spectrum analysis. Simulations demonstrate that the proposed identification method is both effective and efficient.

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