This study addresses the nonlinear dynamic characteristics of multi-rotor unmanned aerial vehicles (UAVs) by proposing a dual-strategy framework that transforms the complex path following problem into trajectory tracking and point control. In the aspect of trajectory tracking, using the software-in-the-loop (SITL) simulation method, we demonstrated the significant impact of different trajectory generation algorithms on the flight path and found that abrupt changes in the yaw angle could potentially threaten the tracking stability of the horizontal channel. In the point control strategy, we compared waypoint control with position linear complementary methods and found that the former might lead to path deviations, which could be effectively mitigated by reducing the distance between waypoints. On the other hand, the position linear complementary method effectively reduces path deviations by adjusting the desired position in real-time. The study ultimately points out that reducing the flight speed of the UAV is an effective means of reducing path deviations.