Modeling of a Switched Reluctance Machine Based on the Invertible Torque Function

Vujičić, Vladan P.

doi:10.1109/tmag.2008.2000663

Cited by 25 publications

(9 citation statements)

References 18 publications

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“…However, Equation (4) is utilized to approximate the phase torque based on a linear relationship between the phase flux linkage and the current as shown in Equation (3). An analytic invertible torque function that represents the nonlinear and saturation effects appropriately was used as follows [26]:…”

Section: Nonlinear Mathematical Model Of Torque Profilementioning

confidence: 99%

Improvement of the Torque-Speed Performance and Drive Efficiency in an SRM Using an Optimal Torque Sharing Function

Wei

Poming

2018

Applied Sciences

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In this paper, by evaluating the extreme value of the qth-power current, a torque sharing function (TSF) family for reducing the torque ripples in the switched reluctance motor (SRM) is proposed. The optimization criteria of the TSF has two secondary objectives, including the maximization of the torque-speed range and the minimization of copper loss. The evaluation indices in terms of the peak phase current, the rms (root mean square) phase current, and the torque ripple factor are compared between the proposed TSF family and four conventional TSFs including linear, sinusoidal, exponential, and cubic TSFs. An optimization objective function that combines the maximum absolute value of the rate-of-change of the flux linkage (MAV-RCFL) and the qth-power of current is proposed and a weighting factor is used to balance the influence of the two optimization objectives. An optimal TSF can be easily obtained by solving the optimization problem from the TSF family. The proposed TSF is validated by using simulations and experiments with a three-phase 6/4 SRM with 7.5 kW, 3000 rpm, and 270 V DC-link voltage. The dynamic simulation model is implemented in Matlab/Simulink. The results demonstrate the validity and superiority of the proposed control method; the optimal TSF provides better torque-speed performance, and a better reduction in copper loss and torque ripples at high speed, as compared to conventional TSFs.

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Section: Nonlinear Mathematical Model Of Torque Profilementioning

confidence: 99%

Improvement of the Torque-Speed Performance and Drive Efficiency in an SRM Using an Optimal Torque Sharing Function

Wei

Poming

2018

Applied Sciences

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“…The required output power of SRG is considered according to the shaft speed with wind turbine [15,16].…”

Section: Characteristics Of Wind Turbinementioning

confidence: 99%

A Non-Unity Torque Sharing Function for Torque Ripple Minimization of Switched Reluctance Generators in Wind Power Systems

2015

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This paper deals with a new torque ripple minimization method for a Switched Reluctance Generator (SRG). Although, the SRG has many advantages including simple and robust construction, and high power density as a generator, it has not been widely employed in the industry. One of the major drawbacks of the SRG is its high torque ripple that results in high noise operation of the generator. In this paper, a non-unity Torque Sharing Function (TSF) is proposed to minimize the torque ripple over a wide speed range of operation. Simulations as well as experimental results are presented to verify the effectiveness of the proposed torque ripple minimization technique.

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“…Although it is the most accurate method, it usually needs specific experiment apparatus and complex experimental operations which increase the economic and time costs. Third, analytical method [14]- [16], it is a method based on theoretical analysis of the motor. Thus, what it needs are the motor parameters.…”

Section: Introductionmentioning

confidence: 99%

Accurate torque modeling with PSO-based recursive robust LSSVR for a segmented-rotor switched reluctance motor

Sun

Zhu

2020

Trans. Electr. Mach. Syst.

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In order to improve the reliability in torque calculation of SRM, an accurate nonlinear torque model regresses by recursive robust least squares support vector regression (RR-LSSVR) is proposed in this paper. The model is in terms of a segmented-rotor switched reluctance motor (SSRM). The characteristics of the SSRM is introduced to show its nonlinear characteristics both in magnetic and torque. Then, its mathematic model is established, and an accurate inductance measurement method and a torque calculation method are presented. After this, the principle of the RR-LSSVR and why it can adjust weights according to errors are described. The model used the RR-LSSVR algorithm shows an outstanding capability in accuracy and quickness compared with other algorithms. Finally, to further validate the accuracy of the proposed model in practical application, simulation and experiment are designed based on a 16/10 SSRM.

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Modeling of a Switched Reluctance Machine Based on the Invertible Torque Function

Cited by 25 publications

References 18 publications

Improvement of the Torque-Speed Performance and Drive Efficiency in an SRM Using an Optimal Torque Sharing Function

Improvement of the Torque-Speed Performance and Drive Efficiency in an SRM Using an Optimal Torque Sharing Function

A Non-Unity Torque Sharing Function for Torque Ripple Minimization of Switched Reluctance Generators in Wind Power Systems

Accurate torque modeling with PSO-based recursive robust LSSVR for a segmented-rotor switched reluctance motor

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