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Selective Harmonic Elimination for Light-Rail Transportation Motor Drives using Harris Hawks Algorithm

机译:使用哈里斯·霍克斯算法的轻轨运输电机驱动器的选择性谐波消除

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This paper presents the Harris Hawks Optimization method for harmonic elimination in a traction motor drive based voltage source inverter. The main objective of the pulse-width modulation strategy of selective harmonic elimination (SHE) is to remove low-order harmonics by solving nonlinear equations while satisfying the fundamental aspect. The Harris Hawks Optimization (HHO) is applied in this paper to a two-level, three-phase inverter to solve the equations. The algorithm is based on the hunting exercise of the most intelligent creatures in nature by group swarms of harris hawks, and it conducts seven skill procedure with their sensible group strategy. This approach has higher accuracy and convergence probability than the grey wolf optimizer (GWO). MATLAB software is used for HHO, and GWO computation and comparison. Results of simulation indicate the superiority of HHO over GWO in achieving precise switching angles and higher convergence rate. Finally, MATLAB Simulink simulation tests are conducted on a 135 kW traction motor drive platform in the laboratory for verification purposes. Experimental results show that test information demonstrated the exactness of reenactment information and the accomplishment of the HHO technique.
机译:本文提出了一种基于Harris Hawks优化方法的基于牵引电动机驱动的电压源逆变器中的谐波消除方法。选择性谐波消除(SHE)的脉冲宽度调制策略的主要目标是在满足基本要求的同时,通过求解非线性方程来消除低阶谐波。本文将Harris Hawks优化(HHO)应用于两级,三相逆变器来求解方程。该算法基于哈里斯鹰群在自然界中最聪明的生物的狩猎运动,并采用其明智的群策进行七种技能程序。与灰狼优化器(GWO)相比,此方法具有更高的准确性和收敛概率。 MATLAB软件用于HHO和GWO的计算和比较。仿真结果表明,在实现精确的切换角度和更高的收敛速度方面,HHO优于GWO。最后,为了进行验证,在实验室的135 kW牵引电机驱动平台上进行了MATLAB Simulink仿真测试。实验结果表明,测试信息证明了重演信息的正确性和HHO技术的完成。

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