Direct torque control (DTC) system based on neural network and fuzzy logic

被引：0
|
作者：
Qi, Zhong-Xia [1 ]
Zhu, Xiao-Ping [1 ]
机构：
[1] Coll. of Mech. Eng., Xi'an Shiyou Univ., Xi'an 710065, China
来源：
Xi'an Shiyou Daxue Xuebao (Ziran Kexue Ban)/Journal of Xi'an Shiyou University, Natural Sciences Edition | 2005年 / 20卷 / 01期
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摘要：
The key components in DTC system are a stator flux observer and a inverter state selector. The stator flux observer in the DTC system of a conventional asynchronous motor is simulated by learned neural network replacing U-I-N model. Fuzzy control algorithm is introduced in the inverter state selector, the hierarchical control of the inverter state is implemented by the stator flux linkage error, and torque error and flux linkage angle and less fuzzy control rules are used. Simulation result shows that the DTC system based on neural network and fuzzy logic has a strong robust and good dynamic performance.
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页码：62 / 65
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