A Review of Control Algorithms for Autonomous Quadrotors
For researchers in quadrotor control, this is an incremental survey that summarizes existing methods without new experimental validation.
This paper reviews various control algorithms for autonomous quadrotors, including PID, LQR, sliding mode, and others, and proposes hybrid systems as a promising approach. No concrete numerical results are provided.
The quadrotor unmanned aerial vehicle is a great platform for control systems research as its nonlinear nature and under-actuated configuration make it ideal to synthesize and analyze control algorithms. After a brief explanation of the system, several algorithms have been analyzed including their advantages and disadvantages: PID, Linear Quadratic Regulator (LQR), Sliding mode, Backstepping, Feedback linearization, Adaptive, Robust, Optimal, L1, H-infinity, Fuzzy logic and Artificial neutral networks. The conclusion of this work is a proposal of hybrid systems to be considered as they combine advantages from more than one control philosophy.