Identification of switched reluctance machine using fuzzy model

Ouannou, Abdelmalek; Brouri, Adil; Kadi, Laila; Oubouaddi, Hafid

doi:10.1007/s13198-022-01749-4

Cited by 6 publications

(4 citation statements)

References 61 publications

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“…This control loop likely plays a crucial role in ensuring the proper and precise operation of the SRM within the larger control system. We proposed the state variable 𝑥 = 𝑖 so according to equation (1) we have:…”

Section: Fig 5 Sinusoidal Tsfmentioning

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: Fig 5 Sinusoidal Tsfmentioning

confidence: 99%

“…The switched reluctance motor (SRM) is a type of electric motor that operates by the principle of reluctance torque [1]. In addition, The SRM consists of a rotor with salient poles and a stator with multiple coils.…”

Section: Introductionmentioning

confidence: 99%

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

Oubouaddi,

Brouri,

Ouannou

et al. 2023

E3S Web of Conf.

Self Cite

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show abstract

“…The em f depends on various factors, including the speed of the rotor, the magnetic flux linkage, and the characteristics of the motor's windings. Considering that the simulations are performed under stationary conditions, the electromagnetic force (emf) becomes zero [23][24][25][26]. Typically, the resistive voltage drop across the windings of the synchronous reluctance generator (SRG) is minimal and is commonly ignored [27].…”

Section: Electrical Modelmentioning

confidence: 99%

“…As a result, the voltage across phase resistor (Ri) in the SRG windings is generally of negligible value and can be disregarded [27,28]. Therefore, the equation for the phase winding voltage (2a) can be expressed as [23]:…”

Section: Electrical Modelmentioning

confidence: 99%

Parameter Identification of Switched Reluctance Motor SRM Using Exponential Swept-Sine Signal

et al. 2023

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Switched reluctance motors (SRMs) received major interest in several domains, e.g., in electric vehicles. This interest is due to the many advantages of SRMs, including operation at a wide range of speeds, high performances, low cost, robustness to run under degraded conditions, and controllability. One of the major aspects in the design and implementation of controllers for SRMs is the estimation of the motor parameters. An accurate estimate of these parameters is a challenge due to the highly nonlinear behavior of SRMs in addition to their magnetic saturated operating mode to maximize the energy transfer. This paper aims at estimating the parameters of SRM by developing a new SRM model using an analytical technique. The proposed technique is based on a parallel connection of several Hammerstein models that have polynomial nonlinearity. The model is driven by a swept-sine signal, and then finite element method analysis is performed to estimate the SRM parameters. The effectiveness of the proposed method is highlighted by numerical simulation. All these simulations were performed using MATLAB/SIMULINK.

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Adaptive joint source coding LDPC for energy efficient communication in wireless network on chip

Sindgi,

Mahadevaswamy

2024

Int J Syst Assur Eng Manag

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Identification of switched reluctance machine using fuzzy model

Cited by 6 publications

References 61 publications

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

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

Parameter Identification of Switched Reluctance Motor SRM Using Exponential Swept-Sine Signal

Adaptive joint source coding LDPC for energy efficient communication in wireless network on chip

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