1. RADIAL BASIS FUNCTION NEURAL NETWORK DESIGN
The multivariate Gaussian function was used as the activated function for hidden layer:

2. RADIAL BASIS FUNCTION NEURAL NETWORK DESIGN
Output layer:

3. 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:

4. RADIAL BASIS FUNCTION NEURAL NETWORK DESIGN
Adjusting mechanism of fuzzy controller

5. 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

6. NEURAL FUZZY CONTROLLER
Implement by FSM (Finite state machine)

7. NEURAL FUZZY CONTROLLER

8. NEURAL FUZZY CONTROLLER