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Implementation of AC voltage controller-fed induction motor starting through particle swarm optimization

机译:通过粒子群算法启动交流电压控制器馈电感应电动机的实现

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In this paper optimum firing angle of the ac voltage controller fed-induction motor is obtained through particle swarm optimization technique. Optimum firing angle is taken as the firing angle at which it gives zero negative torque pulsations with minimum acceleration time. Optimum firing angle is first obtained through graphical method and then verified through Particle Swarm Optimization algorithm. Five machines grouped into two, with each group consisting of equally rated machine with different motor parameters are used for the study. Experimental evaluation is done using DSP TMS320F2812 as the controller. 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:本文通过粒子群优化技术获得了交流电压控制器感应电动机的最佳点火角。最佳点火角被视为以最小加速时间给出零负转矩脉动的点火角。首先通过图形方法获得最佳点火角,然后通过粒子群优化算法进行验证。本研究使用五台机器,每台机器分为两台,每台机器由具有不同电机参数的同等额定机器组成。使用DSP TMS320F2812作为控制器进行了实验评估。结果表明,通过图形化方法和粒子群优化算法得到的最佳发射角是匹配的,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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