风力发电中感应发电机最优MRAS速度估计

B. Dumnic, D. Matic, V. Katić, V. Vasic, M. Delimar
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引用次数: 9

摘要

本文提出了一种改进的鼠笼式感应发电机无传感器矢量控制方法,用于变速风能转换系统。采用模型参考自适应系统- MRAS观测器对感应发电机转速进行估计。在变流器控制系统中,将估计转速作为控制回路的反馈。采用遗传算法、粒子群算法和模拟退火算法对MRAS观测器中的比例积分控制器进行优化。并对感应发电机的最优转速估计进行了比较分析。通过Matlab/Simulink仿真,对无传感器控制的变速风力发电机组的性能进行了评价。实验结果通过基于dSpace DS1104数字控制卡的实验室模型得到。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Optimal MRAS speed estimation for induction generator in wind turbine application
This paper propose improved sensorless vector control of squiral cage induction generator for variable speed wind energy conversion system. The rotational speed of the induction generator is estimated with the Model Reference Adaptive System - MRAS observer. The estimated rotational speed is used as the feedback of the control loop in the converter control system. Proportional integral controller in the MRAS observer is optimized via Genetic Algorithm, Partical Swarm Optimization and Simulated Annealing. Comparative analise of the optimal speed estimation of induction generator is also presented. The performance of the sensorless controled variable speed wind turbine drive is evaluated through simulation in Matlab/Simulink. Experimental results are gained via laboratory model based on dSpace DS1104 digital control card.
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