Abstract

The conventional PID controller for servo system can hardly restrain torque disturbance caused by friction and load efficiently, and it has slow respond speed. This paper introduces a compound control method for servo system based on fuzzy CMAC neural network. FCMAC neural network introduce membership function and activation intensity of memory cells, which makes the description ability of network stronger and the approach precision of network will be better. The controller based on FCMAC neural network can apperceive disturbance by self learning on line and provide appropriate compensation for disturbance. The results of simulation show that with this method servo system will have better tracking ability and well robustness.

Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.