黑龙江科技学院学报2012，Vol.22Issue(4)：428-432,5.
自适应神经模糊推理系统在电动机软启动中的应用
Application of adaptive neuro-fuzzy inference system in motor soft start
摘要
Abstract
Aimed at addressing serious grid impact entirely due to the impact of electricity resulting from direct start of induction motor,this paper introduces the application of the adaptive neuro-fuzzy inference system to the control of motor soft start.The method renders it possible to give a fuller play to the ability of adaptive learning of neural networks and fuzzy inference without the need to master the exact model of the object,and finally achieve the intelligent control of motor.The method consists of using the relationship of motor speed,load torque and the firing angle as training samples,and applying the hybrid learning algorithm to adjust the premise parameters and conclusion parameters,generating the fuzzy rules automatically and building the adaptive neuro-fuzzy inference system,and generating the appropriate thyristor trigger angle according to the given motor speed and torque.The simulation analysis shows that,the adaptive neuro-fuzzy inference system after training can afford a better control of motor speed,and thus promises to make possible the soft start of fan or pump load motor.关键词
自适应神经模糊推理系统/异步电机/晶闸管/软启动Key words
adaptive neuro-fuzzy inference system/induction motor/thyristor/soft start分类
计算机与自动化引用本文复制引用
李冬辉,王莹莹,马禹新..自适应神经模糊推理系统在电动机软启动中的应用[J].黑龙江科技学院学报,2012,22(4):428-432,5.基金项目
国家自然科学基金项目 （）
