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Analysis of VFD Induction Motor Current Disturbances by Prony Analysis and Motor Redesign by Intelligent Optimization Techniques

机译:通过智能优化技术分析PRONY分析和电机的VFD感应电动机电流扰动

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An analytical approach is discussed in this paper to minimize the influence of disruptive current spikes occurring at low frequency in a Variable Frequency Drive (VFD) induction motor. In a continuous process industry a 3-phase, 550 kW, induction motor coupled with a reciprocating pump, is tested at low frequency. Prony method is used to analyze the data. The optimal values of motor design parameters that deliver sufficient mechanical power at low frequency and cause the least disruptive current spikes is arrived at, by using intelligent optimization techniques like Artificial Bee Colony (ABC), Particle Swarm Optimization (PSO), and Genetic Algorithm (GA). Using the optimal design values obtained, Taguchi method is applied on the VFD control parameters. The optimal control parameters thus obtained for tuning the VFD to get the minimal current spikes is comparable with the practical VFD parameters which is seen to be able to deliver stable operation of the motor at low frequency. The optimal motor design parameters can be used to procure a new motor that can give stable operation at low frequency.
机译:本文讨论了分析方法,以最小化在可变频率驱动(VFD)感应电动机中以低频发生的破坏性电流尖峰的影响。在连续的工艺行业中,在低频测试中测试3阶段,550kW,与往复泵的电动电动机进行测试。 PRONY方法用于分析数据。通过使用人造蜂菌落(ABC),粒子群优化(PSO)和遗传算法等智能优化技术来实现电动机设计参数的电动机设计参数的最佳价值,并导致最小的机械功率。 GA)。使用所获得的最佳设计值,在VFD控制参数上应用Taguchi方法。由此获得用于调谐VFD以获得最小电流尖峰的最佳控制参数与所看到能够在低频下提供电动机稳定运行的实用VFD参数相当。最佳电机设计参数可用于采购新电机,可在低频下提供稳定运行。

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