A Review on Comparative Remarks, Performance Evaluation and Improvement Strategies of Quadrotor Controllers

The quadrotor is an ideal platform for testing control strategies because of its non-linearity and under-actuated configuration, allowing researchers to evaluate verify strategies. Several are used, including Proportional-Integral-Derivative (PID), Linear Quadratic Regulator (LQR), Backstepping, Feedback Linearization Control (FLC), Sliding Mode (SMC), Model Predictive (MPC), Neural Network, H-infinity, Fuzzy Logic, Adaptive Control. However, due several drawbacks, such as high computation, a large amount training data, approximation error, the existence uncertainty, commercialization those technologies in various industrial applications currently limited. This paper conducts thorough analysis current literature on effects multiple controllers quadrotors, focusing two separate approaches: (i) controller hybridization (ii) development. Besides, limitations previous works discussed, challenges opportunities work this field assessed, potential research directions suggested.