Active Disturbance Rejection Control of Morphing Aircraft with PSO-Based Parameter Optimization

In order to solve the control problem of morphing aircraft under anti-jamming requirement, this paper proposed a new type of active disturbance rejection controller (ADRC) with optimized parameters. First, a longitudinal nonlinear dynamic model of a variable-swept-wing aircraft was established. Then, a set of control schemes with cascaded structure were proposed and summarized, and the decoupling control of speed and altitude was realized through the throttle opening and elevator deflection angle respectively. Next, for the controller of each loop, an extended state observer was designed to estimate all states in real time, the backstepping method was used to design the output feedback control law, and the dynamic inversion method was used to solve the control non-affine problem. Finally, the particle swarm optimization (PSO) algorithm was used to optimize controller parameters. The simulation results show that the PSO algorithm converges well when optimizing the controller parameters, and the parameter-optimized ADRC can track the command well in the case of configuration change and interference existence.