The quadrotor is vulnerable to internal model parameters uncertainty and external airflow. In order to guarantee that the quadrotor tracks the reference signal quickly and smoothly under the influence of external airflow interferences and internal parameter uncertainties, an independent reference model–based anti‐interference control algorithm was proposed. The flight control system of the quadrotor was decomposed into a horizontal position control subsystem and a height and attitude control subsystem. The independent reference model–based backstepping controllers of two subsystems were designed, respectively. We design backstepping controllers for the subsystems and obtain independent reference models. A generalized state error is introduced, which refers to the error between the independent reference model output and the actual system output. Then, based on the generalized state error and backstepping control method, the controller is designed using the Lyapunov stability theory. The function of an independent reference model is to plan the ideal response of a system in an interference‐free environment. The response is synchronized with the system in real‐time. The error between the independent reference model output and the actual system output is the key to generating anti‐interference control variables. The anti‐interference backstepping controller based on the independent reference model has a simple structure and fewer variables. The simulation results show that the algorithm can effectively suppress the external airflow interferences, and it has good anti‐interference ability to load uncertainties. It reduced position error by 98% compared to conventional methods.
Li et al. (Thu,) studied this question.