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本文基于开关磁阻电动机 (SRM)线性模型 ,对 SR电机电压斩波控制方式的两种续流方式——能量回馈和非能量回馈续流方式的电流和磁链进行了计算 ,比较了它们对转矩脉动的影响。本文研究表明 ,SRM电压斩波控制采用非能量回馈续流方式在抑制转矩脉动和振动噪音等方面较能量回馈续流方式有更好的性能 相似文献
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Osamu Ichinokura Hiroshi Yoshida Katsubumi Tajima 《Electrical Engineering in Japan》2001,137(4):10-17
This paper presents an operating analysis of a ferrite orthogonal core for high‐frequency power control and power conversion. The analysis is based on the three‐dimensional nonlinear magnetic circuit of the orthogonal core, and is called Reluctance Network Analysis. The magnetization characteristics of the ferrite orthogonal core are calculated accurately by using Reluctance Network Analysis. On the basis of the obtained magnetization curves, we can analyze the operating characteristics of the various application circuits of the orthogonal core. For an example, the control characteristics of a high‐frequency variable inductor using the ferrite orthogonal core are calculated in this paper. © 2001 Scripta Technica, Electr Eng Jpn, 137(4): 10–17, 2001 相似文献
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K.?Tomczewski P.?WachEmail author 《Electrical Engineering (Archiv fur Elektrotechnik)》2003,85(5):275-281
This paper presents the control characteristics of switched reluctance (SR) motors defined for the maximum efficiency of the motor or the motor–converter system and for the minimum ripple level of electromagnetic torque. Curves for control variables—switch-on and switch-off angles (or conduction angle) and average phase voltage—are obtained by computations from a simple mathematical model. This lumped-parameter model takes into account the magnetic saturation of the motor and the parameters of the power converter necessary to guarantee reliable results concerning power losses in the system. The investigations were carried out for two typical SRM with the number of teeth Ns/Nr=8/6 and 6/4 for a battery supply and for a 310-V rectifier supply. Time curves obtained from mathematical model and control characteristics resulting from numerous optimization computations were validated by thorough measurements performed on a special test rig.List of symbols D viscous friction damping, Nms - ek back EMF in the kth winding, V - ik current in the kth winding, A - J moment of inertia, kg/m2 - L() phase winding's inductance in unsaturated state H - L(,i) phase winding's inductance considering saturation H - m number of phases - Ns/Nr number of teeth: stator/rotor - n rotational speed, 1/s - R phase winding's resistance, - Ri current measurement resistor value, - Rk total resistance in the kth phase circuit, - Rs resistance of a power source, - RTDSat drain-source resistance of a transistor in the saturated state - rD dynamic resistance of a diode, - Te electromagnetic torque, Nm - Tl load torque, Nm - uk voltage of the kth phase, V - U phase voltage RMS value, V - Uav phase voltage average value, V - on switch-on angle, rad - off switch-off angle, rad - z=on–off conduction angle, rad - stroke angle of the motor, rad - s efficiency of a motor - u efficiency of a motor–converter system - rotor position angle, rad - (,i) saturation function of the winding's inductance - mp level of the torque ripples, % - r=2/Nr, rad rotor tooth pitch - k rotor position angle reduced to the kth tooth-pitch, rad - (,i) flux linkage of a phase winding, Wb -
angular velocity, rad/s -
angular acceleration, rad/s2 相似文献
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基于神经网络的开关磁阻电机转子位置估计 总被引:3,自引:0,他引:3
位置检测是开关磁阻电机调速系统中的重要环节.实时、准确的位置是开关磁阻电机正确运行的关键.由于其转子位置角是各相磁链与电流的高度非线性函数,传统线性及解析的方法难以精确求得.该文基于神经网络并行处理及逼近任意非线性函数的特点,提出了基于神经网络的位置检测方案.借助于MATLAB的神经网络工具箱,采用三种改进的学习算法对试验数据样本进行了离线训练,确定了用于位置检测的神经网络模型.为验证模型的有效性和准确性,对大量的数据样本进行了仿真.结果表明:该方法能够快速、准确地测量转子位置,鲁棒性和自适应性强. 相似文献