Quadrotor UAVs are gradually being used in various fields because of their flexibility, ease of control and low cost. Along with advancement of electrical technology in contemporary times and increasing application scenarios of the aircraft, the demand for control systems has also increased. In different application scenarios, there are some differences in the functions and application requirements of UAV. Therefore, it is of great value to adjust the control algorithm by combining the scenario requirements. PID heuristic and fuzzy PID heuristic are the two most common control algorithms in UAV. In this paper, the heuristics are designed and compared for the above two algorithms in different scenarios and environments. First, the development process and status of UAVs are explained, and the importance of the control system is introduced. Subsequently, two control systems are studied and designed separately, and targeted comparison tests are conducted. Finally, the performance and applicability scenarios of the two control systems are analysed according to the experimental results, which in turn provide an important reference basis for the design of PID-based UAV control systems.