• Sagar. E
• Sajan. CH
• Kalyani. P
• Sreenidhi. T

Future projections suggest that a growing proportion of the world's energy will come from wind power. Nevertheless, since wind power gets more widespread in the grid, new worries about system reliability and stability emerge. As a result, there are now more opportunities to enhance power quality and create control systems that support the grid during voltage disruptions. This study proposes a comparison between PI, SMC and ANFIS approach for a direct drive PMSG wind energy change framework. Nonlinear Sliding Mode Control (SMC) is an amazing strategy for dealing with lattice unsettling influences because of its sturdiness and high aggravation dismissal capacities. The SMC chattering effect increases the overall harmonic distortion that is added to the grid. This work effectively reduces the SMC demerit by carefully selecting of a controller and its dynamics from the ANFIS control law design. MATLAB/Simulink simulation findings demonstrate that the recommended control scheme performs significantly compared to the obviously changed relative basic control during lattice voltage blackouts.

GSC Control, MSC Control, Permanent Magnet Synchronous Generator, Artificial Neuro Fuzzy Inference System Control, Wind Energy.

"COMPARISON OF DIFFERENT CONTROL STRATEGIES FOR A DIRECT DRIVE PMSG BASED GRID INTEGRATED WIND ENERGY CONVERSION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 5, page no.e450-e460, May-2024, Available :http://www.jetir.org/papers/JETIR2405452.pdf

"COMPARISON OF DIFFERENT CONTROL STRATEGIES FOR A DIRECT DRIVE PMSG BASED GRID INTEGRATED WIND ENERGY CONVERSION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 5, page no. ppe450-e460, May-2024, Available at : http://www.jetir.org/papers/JETIR2405452.pdf