Fuzzy Logic Control System with Helicopter Takeoff and Landing

In this study, fuzzy expert system is designed for the provision of helicopter takeoffs and landings by fuzzy logic. For this purpose, a model helicopter and the test platform have been created that helicopter movements can be tested. The vertical motion control on the axis defined by the fuzzy logic control system is provided for the helicopter with the generated test platform with four degrees of freedom. Fuzzy logic controller was designed with Arduino 2560 control board and Visual Studio 2010 C Sharp program for controlling helicopter model and analysis of motion control was made. Real-time control of the helicopter created on the test platform was empirically examined through the study. During the control of the helicopter, helicopter axis values from the imu sensor, and distance values from the ultrasonic distance sensor, which both were placed on the helicopter model, are read with Arduino, and sent to the computer. These values have been made meaningful on the computer. The rendered meaningful data were processed with the designed controller software to form the input values. Net values are obtained with processing the input values in the developed controller algorithms. These Net values were transmitted to the engine on the model with the help of Arduino and control of the helicopter was achieved in the target direction. Consequently the control of the helicopter movement on the vertical axis was examined as an experiment and simulation.