Towards Optimization of Energy Consumption of Tello Quad-Rotor with Mpc Model Implementation

For the last decade, there has been great interest in studying dynamic control for unmanned aerial vehicles, but drones—although a useful technology different areas—are prone to several issues, such as instability, high energy consumption of batteries, and inaccuracy tracking targets. Different approaches have proposed dealing with nonlinearity which represent most important features this system. This paper focuses on common strategy, known model predictive (MPC), its two branches, linear (LMPC) nonlinear (NLMPC). The aim is develop based sensors embedded Tello quad-rotor used indoor purposes. original controller supposed be slave, designed was created MATLAB. design imported another system, considered master. objective track reference trajectory while maintaining stability system ensuring low consumption. case study compares (MPC). results show efficiency NLMPC, provides more promising compared LMPC. comparison concentrates consumption, tracked trajectory, execution time. main finding research that NLMPC good solution smoothly trajectory. processes faster, rotors consume because increased values inputs calculated by controller.