To deal with the remarkable growth of global electricity demand, renewable energy sources (RESs), especially wind energy, are included in the power grid instead of the conventional generation stations which utilize fossil fuels to wipe out their serious influences on the environment such as the greenhouse effect. Hence, various control techniques are utilized on the wind energy conversion system (WECS) for adapting the generating wind power for accomplishing power grid requirements. During the integration of perturb and observe (P&O) maximum power point tracking (MPPT) algorithms, several drawbacks are investigated such as rotor speed fluctuations, and speed tracking loss. So, it is crucial to accurately design the speed controllers to overcome and curb these problems for achieving maximum wind power harvesting. Several speed controller types are employed to regulate the rotor speed with the actual wind speed. Therefore, this article investigates a comparative study and performance assessment of different speed controllers namely, PI, sliding mode control (SMC), integral sliding mode control (ISMC), and model predictive controller (MPC), to show the effectiveness of each one and their performance during the incorporation of P&O MPPT algorithms under the same operating conditions using the five-phase permanent magnet synchronous generators (PMSGs) based on the WECS. To authenticate the performance of the applied speed controllers, simulation results using various wind speed variations are carried out using Matlab/Simulink. The simulation results revealed that using predictive controllers is suitable for speed controller applications to solve other controllers' drawbacks during using the conventional P&O MPPT algorithm.