<p>The increasing penetration of renewable energy sources, particularly wind power, necessitates robust frequency control mechanisms to maintain grid stability. However, wind energy conversion systems (WECS) with permanent magnet synchronous generators (PMSG) lack natural inertia, making them vulnerable to transient frequency disturbances. This article proposes an intelligent frequency control (IFC) for a PMSG-based WECS to provide virtual inertia support (VIS) during frequency disturbances under transient conditions. The proposed IFC is a fusion of an adaptive neuro-fuzzy inference system (ANFIS) control with an improved phase-locked loop (IPLL) synchronization technique. The IPLL senses the real-time grid frequency deviation and improves the synchronization accuracy during the abnormal conditions of the grid. Further, the proposed method is compared with the existing frequency support system (time-sharing frequency control) and conventional method, and validated on a modified IEEE-9 bus system. Along with this, the stability analysis of IPLL with typical PLL is also investigated. The detailed simulation of a 1.5&#xa0;MW PMSG wind plant is being carried out in a MATLAB/Simulink environment. Furthermore, the result shows the proposed technique improves the rate of change of frequency (RoCoF) by 23.80% and 33.33% under the load decrement and 21.12% and 30% during the load increment conditions. The effectiveness of the proposed control technique is also validated in the OPAL-RT 4510 real-time environment.</p>