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Design and implementation of AC voltage controller-fed induction motor starting through particle swarm optimisation

机译:基于粒子群优化的交流电压控制器馈电异步电动机的设计与实现

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This paper analyses the starting performance of AC voltage controller fed-induction motor drive to find out an optimum firing angle for the AC voltage controller using particle swarm optimisation(PSO). Investigations on dependence of optimum firing angle on motor parameters and the effect of variation of motor parameters on the starting performance of motor are also made in this work. About nine machines grouped into four, with each group consisting of equally rated machine with different motor parameters are used for the study. Optimum firing angle is first obtained through graphical method and then through the PSO algorithm. Experimental evaluation is done using DSP TMS320F2812 as the controller. All the results show that optimum firing angle obtained through graphical method and PSO is matching and there is a good agreement with the simulation and hardware results. Results also show that, though the machines have same rating, their optimum firing angles are different due to the difference in motor parameters.
机译:本文分析了交流电压控制器的感应电动机驱动器的启动性能,以采用粒子群优化算法(PSO)找出交流电压控制器的最佳点火角。在这项工作中,还研究了最佳点火角对电动机参数的依赖性以及电动机参数变化对电动机起动性能的影响。这项研究使用了大约9台机器,分为4组,每组由具有不同电机参数的同等额定的机器组成。最佳点火角首先通过​​图形方法获得,然后通过PSO算法获得。使用DSP TMS320F2812作为控制器进行了实验评估。所有结果表明,通过图形化方法和PSO获得的最佳点火角度是匹配的,与仿真和硬件结果吻合良好。结果还表明,尽管这些机器具有相同的额定值,但由于电动机参数的不同,它们的最佳点火角也有所不同。

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