Comparative Study Regarding Control of Wind Energy Conversion Systems Based on the Usage of Classical and Adaptive Neuro Fuzzy Controllers
arXiv:1803.09549h-index: 10
AI Analysis
Incremental comparison of control strategies for wind energy systems, offering marginal improvement over classical methods.
The paper compares adaptive neuro-fuzzy and PD controllers for wind energy conversion systems via MATLAB simulations, finding the neuro-fuzzy controller outperforms the PD controller in terms of response time and overshoot.
The paper presents a comparative study regarding the control (using an adaptive neuro-fuzzy controller and a PD controller) based on the simulation of wind energy conversion systems functioning. There are considered several simulations based on asynchronous generator usage, by using the dedicated MATLAB-PSB (Power System Blockset) toolbox implementations.