Design of a wide speed range control strategy of switched reluctance motor for electric vehicles

Wang, X.; Zhou, Yang; Wang, T.; He, Dingyi; Huo, Y.; Cheng, He; Yu, Guangchuang

doi:10.1109/icinfa.2015.7279301

Cited by 7 publications

(3 citation statements)

References 18 publications

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“…On the contrary, at high speeds, the phase current can neither rise nor decay quickly enough to reach its preferred level. For that reason, the motor phase winding is switched on early to allow the phase current to reach its desired level, as shown in Figure 1b [3][4][5]. Therefore, the optimum θ on should satisfy two conditions [4][5][6].…”

Section: Problem Descriptionmentioning

confidence: 99%

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A new technique for optimum excitation of switched reluctance motor drives over a wide speed range

Hamouda¹,

Számel²

2018

Turk J Elec Eng & Comp Sci

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Optimum performance of switched reluctance motors (SRMs) over a wide range of speed control is an essential approach for many industrial applications. However, the doubly salient structure and deep magnetic saturation make magnetization characteristics of SRMs a highly nonlinear function of rotor position and current magnitude. This, in turn, makes the control of SRM drives a challenging task. As the control of SRMs depends on the inductance profile, it requires an adaptive control technique for optimum operation over a wide range of operating speeds. This paper presents an adaptive control technique for optimum excitation of SRM drives. The proposed control technique accurately considers the effect of back-emf voltage for high-and even low-speed operation. It determines the most efficient switch-on angle as a function of motor speed and current magnitude. Moreover, the optimum switch-off angle is defined to enhance motor output torque/power without negative torque production. The proposed technique simplifies the SRM control in order to cut down the complexity and cost; it offers easy implementation and can be used for sensor and sensorless operation of SRM drives. It also provides an eligible candidate for industrial applications as the optimization strategy uses an analytical solution. For adequate modeling, the nonlinear magnetization characteristics of the SRM are obtained using finite element analysis. The SRM, converter, and control algorithm are modeled using the MATLAB/Simulink environment. The simulation results are compared with a closed-loop switch-on angle controller in order to show the feasibility of the proposed control technique. In addition, experimental results are obtained to prove the promising performance and simplicity of the proposed controller.

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Section: Problem Descriptionmentioning

confidence: 99%

“…The switched reluctance motor (SRM) is the simplest of all electric machines. It promises a reliable and low-cost variable-speed drive for several industrial applications [1][2][3]. However, the doubly salient structure causes highly nonlinear magnetic characteristics, which complicate the control of SRM drives [4,5].…”

Section: Introductionmentioning

confidence: 99%

A new technique for optimum excitation of switched reluctance motor drives over a wide speed range

Hamouda¹,

Számel²

2018

Turk J Elec Eng & Comp Sci

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show abstract

“…The self-tuning (offline) method separates the simulation and the calculation to optimize the turn-on and turn-off-angle. In [23], the simulation is first to run in Matlab/Simulink, and then the result is optimized using a specific method. This method has several advantages over the analytic method (online).…”

Section: Introductionmentioning

confidence: 99%

Optimum Switching Angle Of Switched Reluctance Motor Using Response Surface Methodology

Nugroho

Khosyi’in

Arifin

et al. 2021

IJEEI

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Switched Reluctance Motor has numerous advantages compared to another electric motor. Simple structure, low-cost production, robustness, and high fault tolerance have been remarkable milestones. Still, the problem of excitation angle at power converter becomes crucial, especially for traction use, requiring higher torque at low speed for starting and acceleration. Therefore, this research emphasized finding the optimum excitation angle at low speed using Response Surface Methodology, a practical application to achieve the highest torque, as indicated by the best speed in the constant torque region. As a result, using Matlab simulation, the adaptive combination of optimum angles reached 2691 rpm quicker than a single excitation angle with 2568 rpm, an increase of 4.79% higher speed using RSM optimization. According to the experimental data, the adaptive combination of optimum angle achieved 2475 rpm better than the single excitation angle reached 2340 rpm, an increase of 5.77% higher speed using the Response Surface Methodology.

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Reduced Torque Ripple based on a Simplified Structure Average Torque Control of Switched Reluctance Motor for Electric Vehicles

Hamouda

Számel

2018

2018 International IEEE Conference and Workshop in Óbuda on Electrical and Power Engineering (CANDO-EPE)

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Design of a wide speed range control strategy of switched reluctance motor for electric vehicles

Cited by 7 publications

References 18 publications

A new technique for optimum excitation of switched reluctance motor drives over a wide speed range

A new technique for optimum excitation of switched reluctance motor drives over a wide speed range

Optimum Switching Angle Of Switched Reluctance Motor Using Response Surface Methodology

Reduced Torque Ripple based on a Simplified Structure Average Torque Control of Switched Reluctance Motor for Electric Vehicles

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