Adaptive neuro fuzzy technology to enhance PID performances within VCA for grid-connected wind system under nonlinear behaviors: FPGA hardware implementation.
Mahdi HermassiSaber KrimYoussef KraiemMohamed Ali HajjajiPublished in: Comput. Electr. Eng. (2024)
Keyphrases
- hardware implementation
- neuro fuzzy
- recursive least squares
- wind power
- field programmable gate array
- neural fuzzy
- fpga implementation
- signal processing
- dedicated hardware
- efficient implementation
- fuzzy rules
- hybrid learning
- hardware architecture
- hardware design
- neuro fuzzy systems
- software implementation
- fpga technology
- image processing algorithms
- neuro fuzzy network
- control system
- fuzzy inference system
- pipelined architecture
- parallel architecture
- predictive control
- recurrent neural networks
- control algorithm
- neural network
- control scheme
- fuzzy neural network
- control method
- embedded systems
- wind speed
- computer systems
- adaptive filtering
- general purpose
- fuzzy controller
- learning algorithm
- pid controller