电气传动
電氣傳動
전기전동
ELECTRIC DRIVE
2010年
4期
54-56
,共3页
模糊神经网络%比例积分%异步电机%矢量控制
模糊神經網絡%比例積分%異步電機%矢量控製
모호신경망락%비례적분%이보전궤%시량공제
fuzzy neural network%proportional integral%induction motor%vector control
提出一种用于异步电机位置控制的模糊神经网络(fuzzy neural network,FNN)控制器.其控制系统采用Sugeno型FNN和比例积分(proportional integrate,PI)控制进行构建.在进行试验测试之前,利用实验数据库和梯度算法对模糊神经网络进行在线训练.利用DS1104型DSP控制卡实现控制算法.利用该控制器对异步电机进行位置控制,在电机施加非线性负载和发生参数扰动的条件下,对控制系统的功能以及鲁棒性进行测试,试验结果表明,该控制系统能够保证电机稳定有效的工作.
提齣一種用于異步電機位置控製的模糊神經網絡(fuzzy neural network,FNN)控製器.其控製繫統採用Sugeno型FNN和比例積分(proportional integrate,PI)控製進行構建.在進行試驗測試之前,利用實驗數據庫和梯度算法對模糊神經網絡進行在線訓練.利用DS1104型DSP控製卡實現控製算法.利用該控製器對異步電機進行位置控製,在電機施加非線性負載和髮生參數擾動的條件下,對控製繫統的功能以及魯棒性進行測試,試驗結果錶明,該控製繫統能夠保證電機穩定有效的工作.
제출일충용우이보전궤위치공제적모호신경망락(fuzzy neural network,FNN)공제기.기공제계통채용Sugeno형FNN화비례적분(proportional integrate,PI)공제진행구건.재진행시험측시지전,이용실험수거고화제도산법대모호신경망락진행재선훈련.이용DS1104형DSP공제잡실현공제산법.이용해공제기대이보전궤진행위치공제,재전궤시가비선성부재화발생삼수우동적조건하,대공제계통적공능이급로봉성진행측시,시험결과표명,해공제계통능구보증전궤은정유효적공작.
A fuzzy neural network (FNN) controller which is used for position controlled of induction mo-tor drive was proposed. A Sugeno type FNN and a proportional integrate controller was adopted for the pro-posed control system. Before the experimental studies, the FNN - PI controller was trained on-line using ex-perimental data's. DS1104 digital signal processor control card was used to implement the control algorithm. The proposed FNN - PI controller was used for the position control of induction motor drive. The performance and the robustness of the control system was tested for nonlinear motor loads and parameter variations. Exper-imental result shows that this controller ensures stable and efficient work of the induction motor.
