Optimal control was formulated for a quadcopter as a constrained optimization problem. The backstepping controller is a well-known technique in control systems that has been used in many applications. Adaptive backstepping control was designed for the ball and beam system, considering parameter uncertainties. The control system looks like a brain that tells a dynamic system how to behave and react to responses. Also, feedback linearization-based control is presented, as well as model predictive control. The key point in all quadcopter applications is the sensitive nature of the flight control of the quadcopter, which is expressed by many control techniques like Lyapunov-based control for indoor micro-quadcopter and combinations of PID-based control. The symmetric structure of the quadcopter has many advantages for different applications like aerospace fields, military security systems, critical monitoring, and mineral exploration. The symmetry of the quadcopter is crucial because the control of the quadcopter depends on rotor speed and lift force variation. The quadcopter is one of the autonomous robot types that do not need a supporting surface it contains four symmetric rotors.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |