RADIAL BASIS FUNCTION NEURAL NETWORK DESIGN The multivariate Gaussian function was used as the activated function for hidden layer:
RADIAL BASIS FUNCTION NEURAL NETWORK DESIGN Output layer:
RADIAL BASIS FUNCTION NEURAL NETWORK DESIGN Based on the gradient descent method, the learning algorithm of weights, node center and variance were designed as follows:
RADIAL BASIS FUNCTION NEURAL NETWORK DESIGN Adjusting mechanism of fuzzy controller
VHDL codes of all system were embedded to Modelsim block: SIMULATION MODEL VHDL codes of all system were embedded to Modelsim block: 1: Neural Fuzzy controller 2: Current control and coordinately transforms 3: SVPWM
NEURAL FUZZY CONTROLLER Implement by FSM (Finite state machine)
NEURAL FUZZY CONTROLLER
NEURAL FUZZY CONTROLLER