<![CDATA[The commercial use of drones has increased rapidly in this sector in the last few decades, one of which is the Hexacopter Type Unmanned Aerial Vehicle (UAV). Hexacopter is a flying robot without a pilot that can be controlled manually using a remote control and controlled automatically or on autopilot. The advantage of the hexacopter is its ability to maneuver flexibly, it can move in 8 cardinal directions without needing to turn first. However, despite their advantages, certain hexacopters must continue to fly stably under a variety of changing conditions, such as changing weather, different loads, or changing environmental conditions. For this reason, a control system is needed that is able to adapt to these changes. This condition makes it interesting to carry out experimental and simulation studies, namely designing a hexacopter with Model Referene Adaptive Control (MRAC) control. By using a Model Reference Adaptive Control (MRAC) control system with the main control using PID control, the response given is good and optimal, the system parameters reach the values: rise time (ts) 1.0709 s, delay time (td) 0.99 s, peak time (tp ) 2.6600 s, settling time (ts) 3.9351 s, overshoot (mp) 4.0847 and steady state error 0.0001%. The mathematical analysis of the MRAC control system needs to be studied in more depth so that the MRAC control calculations become more accurate.]]>
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