Performance Evaluation of a Quadcopter by an Optimized PID

Abstract

The application of UAV (Unmanned Aerial Vehicle) has gradually become a core research theme in environmental detection, and the research of aerial vehicles is most popular with aerial QA (quadrotor aircraft). The reason that causes quadcopter aircraft can obtain a balance between the two vehicles is due to the flight principle and material cost. The quadcopter performs attitude calculations based on the sensors configured on the flight controller. Moreover, it is calculated by a three-axis gyroscope and a three-axis accelerometer to achieve directional monitoring of various data (ex: angular rate, acceleration, etc.) of the quadcopter. The stability of the quadcopter and the data reading of the quadcopter. The stability of the quadcopter and the data reading of the sensor analyzed by the IMU (inertial measurement unit) are presented in this paper. Firstly, the angular velocity and acceleration data are read by the Arduino development board embedded with an MPU6050, and the altitude at which the measurement instrument platform is located through the MS5611 barometric pressure and temperature sensor. Then a brushless DC motor attached to the Arduino control is adopted to 4 PWM (Pulse-width modulation) signals via the output port. In order to the electronic governor for controlling the brushless DC motor (Brushless DC Motor), a ready-made remote control is assigned as the transmitter. By using the BLE protocol the 2.4GHz signal is received from the transmitter through the quadcopter receiver. The 2.4GHz signal is used to determine whether the quadcopter can drive the four brushless DC motors at the same time. Finally, the PID (Proportional Integral Derivative) controller is assessed as a parameter adjustment. The collected PID parameter program will be developed in Simulink software as a simulation platform. The software can be based on the hardware platform Arduino mega 2560 PID control programming and can run the Simulink model on Arduino. The operating Arduino modular can also monitor the Arduino itself, and it can immediately make parameter adjustment actions to determine the flight phenomenon of quadrotor UAV, this item is investigative for the future Industrial industry reduce calculation errors when using sensors and controllers, and remote machine module efficacy.