FPGA implementation analysis of Fuzzy CMAC and its control application
FCMAC的FPGA实现分析及其控制应用

An FPGA implementation structure of a FCMAC(Fuzzy CMAC) was proposed.Compared with other neural networks implemented by FPGA,it contains the learning algorithm that can be employed to realize the on-line learning.First,the model of FCMAC was given and the relevant hardware modules were analyzed.Second,these hardware modules were implemented with VHDL.At last,the implemented FCMAC was used for control,and the corresponding controller was tested.The experimental results indicate that this method for hardware implementation of FCMAC is feasible,and the controller has high computing speed,high precision and better ability of anti-interfere.It is a new and efficient method to implement IP control module or intelligent control based on a single chip.