基于人工神经网络在线参数跟踪的自适应交流传动系统
A Neural Network Based On-line Parameters Tracking Scheme for Autotuned AC Drive System
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摘要: 由于实际的矢量控制效果对传动系统参数的敏感性,使其参数的在线跟踪有了很大 的意义.提出了一种基于Hopfield神经网络的参数在线跟踪方法,并将在线跟踪结果用于参 数突变50％的交流传动系统磁通及转速控制器的自适应调整,得到了很好的仿真试验结果.Abstract: Because of the sensitivity of Vector-Control effect to the AC drive system parameters, it is meaningful to discuss the online tracking of the system parameters. This paper uses the Hopfield neural network for online tracking of the rotor resistance (R2),system rotation inertia(J) ,speed damping coefficient (Ra) and load torque (TL),and uses the online tracking results for adaptive tuning of the flux and speed controller of the AC drive system when its parameters suddenly change about 50% at the start time. Simulation results show the effectiveness of the derived method.
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Key words:
- Neural network /
- on-line parameters tracking /
- autotuned AC drive system /
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