The multi-rotor is a Without driver Aircraft with six degrees of freedom. The main shape of this bird is similar to a cross, which with six BLDC motors is capable of performing complex movements and maneuvers. At present, the control of this group of birds is done by th
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The multi-rotor is a Without driver Aircraft with six degrees of freedom. The main shape of this bird is similar to a cross, which with six BLDC motors is capable of performing complex movements and maneuvers. At present, the control of this group of birds is done by the ground pilot, which is manually controlled or through the GPS system. The adaptive fuzzy method is an indirect controller to control the two modes of torsion and rotation in the flight system, which determines the desired output by taking the input. The advantage of this method is that if there is noise, it updates itself and synchronizes itself with the system. The result creates stability. In this paper, first the multi-rotor flying robot is dynamically modeled and then the adaptive fuzzy control structure is modeled with the help of a fuzzy detector for the multi-rotor flying robot autopilot. As a result, the amelioration and navigation control and stability In autopilot, the multi-rotor flying robot can be obtained with the help of adaptive fuzzy.
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