Torque ripple reduction of switched reluctance motors considering copper loss minimization

Dowlatshahi, Milad; Nejad, Sayed Morteza Saghaian; Moallem, Mehdi; Ahn, Jin-Woo

doi:10.1109/icit.2014.6895012

Cited by 10 publications

(6 citation statements)

References 15 publications

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“…To minimize the torque ripple, the commonly used TSFs can be classified as linear, sinusoidal, exponential, and cubic and their details have been reported in [19,24]. Through the torque control with a TSF in the region where it shares the torque with one or more phases (called the commutation or overlap region), the total torque reference T ref is divided into separate torque reference T ref(k) for each phase.…”

Section: Tsfsmentioning

confidence: 99%

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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: Tsfsmentioning

confidence: 99%

“…In the latest research, the torque sharing function (TSF) has been investigated as an important and effective approach for minimizing the torque ripple in an SRM [19][20][21][22][23][24]. Common TSFs curves contain linear, sinusoidal, exponential, cubic curves, and so on.…”

Section: Introductionmentioning

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 most efficient aim of the algorithm was found for maximum torque value at a minimum mass of the entire construction, following changing the geometric parameters. Normal back-EMF method was replaced by an integral variable structure module in [19,20] and operated in three options, two phase conduction mode, low speed commutation mode, high speed commutation mode for different cases of motor performance. In [21,22] besides the consideration of core saturation of the SRM, a selection method of reference current points from outgoing to incoming phase is introduced to optimize the torque ripple.…”

Section: Introductionmentioning

confidence: 99%

Torque and Ripple Improving of a Sr Motor Using Robust Particle Swarm Optimization of Drive Current and Dimension

Ketabi¹,

Yadghar²,

Navardi³

2016

PIER M

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In this paper, the robust optimization shape and drive of switched reluctance motors (SRMs) are discussed using robust particle swarm optimization (RPSO). The shape optimum goal of the algorithm was found for maximum torque value and minimum torque ripple, following changing the geometric parameters. The drive optimum aim of the algorithm was found minimum torque ripple, following changing the current profiles. The optimization process was carried out using a combination of RPSO and Finite Element Method (FEM). Fitness value was calculated by FEM analysis using COMSOL 4.2, and the RPSO was realized by MATLAB 2011. The proposed method has been applied to two case studies and also compared with seeker optimization algorithm. The results show that the optimized SRM using RPSO has higher torque value, lower torque ripple and higher robustness, indicating the validity of this methodology for SRM design and implementation.

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“…1,[15][16][17] An adaptive mechanism to determine proper current profile for improved transient response and reduced torque ripple is presented in Faiz et al 18 with two phases excited simultaneously. A controller based on Lyapunov function is proposed in Sahoo et al 12 that compensates the uncertainties in the flux-linkage model and ensures fast torque error convergence.…”

mentioning

confidence: 99%

“…Other TSFs that consider torque ripple minimization as primary objective and reduction of copper losses as secondary objective are proposed in previous works. 1,[15][16][17] An adaptive mechanism to determine proper current profile for improved transient response and reduced torque ripple is presented in Faiz et al 18 with two phases excited simultaneously. However, these TSF methods use rotor angle from encoder or similar position sensor to impose the TSF on the reference current.…”

mentioning

confidence: 99%

A sense winding system and dynamic current profiling to reduce torque ripple of SRM

Reddy

Keerthipati

2019

Int Trans Electr Energ Syst

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Summary In spite of simple, rugged, and low‐cost construction of switched reluctance motor (SRM) motor, it has not gained wide spread usage in many applications because of torque ripple and audible noise. The nonlinear magnetic characteristics of SRM are the major cause for torque ripple. The torque ripple can be minimized by controlling the current according to the rate of change of inductance. A low‐cost sense winding system is proposed, which measures instantaneous inductance of the motor. The current references are computed from the measured instantaneous inductance to reduce the torque ripple. The proposed sense winding concept can also measure the rotor speed and rotor angle, which will eliminate the need of external position sensors such as encoder. The dynamic nature of inductance measurements will overcome the drawbacks of offline inductance measurement, such as effect of temperature, asymmetry in motor construction, and the need for tests to capture offline inductance. The signal processing of the sense voltages is implemented on a system on chip (SoC) field‐programmable gate array (FPGA) along with the speed and current control loops. The proposed sense winding system is validated with the help of the Ansys Maxwell 2D as well as experimental prototype.

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Torque ripple reduction of switched reluctance motors considering copper loss minimization

Cited by 10 publications

References 15 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

Torque and Ripple Improving of a Sr Motor Using Robust Particle Swarm Optimization of Drive Current and Dimension

A sense winding system and dynamic current profiling to reduce torque ripple of SRM

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