Fixed for the traditional PID controller parameters lead to poor results in the control issue, based on fuzzy RBF neural network intelligent PID controller design method. The method combines fuzzy control powers of reasoning and neural network learning ability and fuzzy control with RBF neural network combined line tuning of PID controller parameters, the entire Identified a group suitable for the control object kp ki kd parameters. PID parameter optimization algorithm is applied to the motor control system, the simulation results show that the PID controller design based on this algorithm improves the dynamic performance and stability of the motor control system.

1000-3428(2008)22-0231-03.pdf

• We are an exchange download platform that only provides communication channels. The downloaded content comes from the internet. Except for download issues, please Google on your own.
• The downloaded content is provided for members to upload. If it unintentionally infringes on your copyright, please contact us.
• Please use Winrar for decompression tools
• If download fail, Try it againg or Feedback to us.
• If downloaded content did not match the introduction, Feedback to us，Confirm and will be refund.
• Before downloading, you can inquire through the uploaded person information

Nothing．