应用科技
應用科技
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YING YONG KE JI
2015年
2期
1-4
,共4页
侯艳雪%黄曼磊%陶丽楠%李洪坤
侯豔雪%黃曼磊%陶麗楠%李洪坤
후염설%황만뢰%도려남%리홍곤
单神经元%变频调速系统%矢量控制%神经网络
單神經元%變頻調速繫統%矢量控製%神經網絡
단신경원%변빈조속계통%시량공제%신경망락
single neuron%variable frequency speed control system%vector control%artificial neural network ( ANN)
永磁同步电机调速系统被广泛应用于工业、农业等各个领域。为了能够减少能源的消耗，节约成本，须在工业设计和控制技术方面实现高效率、高节能的要求。采用基于空间矢量脉宽调制（ SVPWM）策略的矢量控制方案能够使系统的调速范围较宽，精度较高，抗扰动能力强，得到较好的控制效果，但其超调量较大，而利用神经网络的精准建模特性可有效解决该问题。采用MATLAB／SIMULINK仿真软件设计了转速、电流双闭环SVPWM型交流变频调速系统，对永磁同步电机运用了id ＝0的矢量控制方法。提出在转速控制器的设计中，用单神经元控制器取代传统的PI控制器。通过调节控制器参数并进行仿真，验证了系统模型的合理性，有效地提高了系统的动态性能，改善了系统的稳定性。
永磁同步電機調速繫統被廣汎應用于工業、農業等各箇領域。為瞭能夠減少能源的消耗，節約成本，鬚在工業設計和控製技術方麵實現高效率、高節能的要求。採用基于空間矢量脈寬調製（ SVPWM）策略的矢量控製方案能夠使繫統的調速範圍較寬，精度較高，抗擾動能力彊，得到較好的控製效果，但其超調量較大，而利用神經網絡的精準建模特性可有效解決該問題。採用MATLAB／SIMULINK倣真軟件設計瞭轉速、電流雙閉環SVPWM型交流變頻調速繫統，對永磁同步電機運用瞭id ＝0的矢量控製方法。提齣在轉速控製器的設計中，用單神經元控製器取代傳統的PI控製器。通過調節控製器參數併進行倣真，驗證瞭繫統模型的閤理性，有效地提高瞭繫統的動態性能，改善瞭繫統的穩定性。
영자동보전궤조속계통피엄범응용우공업、농업등각개영역。위료능구감소능원적소모，절약성본，수재공업설계화공제기술방면실현고효솔、고절능적요구。채용기우공간시량맥관조제（ SVPWM）책략적시량공제방안능구사계통적조속범위교관，정도교고，항우동능력강，득도교호적공제효과，단기초조량교대，이이용신경망락적정준건모특성가유효해결해문제。채용MATLAB／SIMULINK방진연건설계료전속、전류쌍폐배SVPWM형교류변빈조속계통，대영자동보전궤운용료id ＝0적시량공제방법。제출재전속공제기적설계중，용단신경원공제기취대전통적PI공제기。통과조절공제기삼수병진행방진，험증료계통모형적합이성，유효지제고료계통적동태성능，개선료계통적은정성。
The speed control system of the permanent magnet synchronous motor ( PMSM) has been widely used in industry , agriculture and many other fields .In order to reduce energy consumption and save cost effectively , it is necessary to accomplish the requirements of high efficiency and high energy saving on the aspects of industrial de -sign and control technology .The vector control method based on the space vector pulse width modulation ( SVP-WM) strategy provides wide speed range , high precision and good ability to resist disturbance for the system .The control effect is excellent , but its overshoot is large .The precise modeling property of the neural network is used to effectively solve this problem .This paper designed a kind of variable frequency speed control system based on SVP -WM that contains double closed-loop of speed and current by MATLAB/SIMULINK, and the vector control method of id =0 was used to control the PMSM.In this study,we adopt single neuron controller to replace the traditional PI controller in the process of designing a speed controller .Moreover, the rationality of the system model was verified by adjusting the parameters of the controller ,and the dynamic performance and stability of the system are improved .
