Intelligent active flutter control of aeroelastic system with microtab surface based on data-driven robust disturbance rejection controller

Flutter control of microtab based aeroelastic system is challenging, due to aerodynamic nonlinearity, large unknown disturbance, wind uncertainty, and strict microtab constraints. In this paper, a data-driven robust flutter control scheme for the system is proposed with two-port active disturbance rejection control (TP-LADRC) scheme. First, a hybrid accurate model is established by using data-driven aerodynamic modeling method. Second, for TP-LADRC controller design, extended state observer (ESO) based LADRC is utilized for state variable and unknown disturbance estimation, and anti-disturbance flutter control. New compensator is developed for fast and full compensation of microtab constraints. Third, novel two-degree-of freedom internal model control (TDF-IMC) parameterization method is proposed to comprehensively determine the control gain, compensator gain and observer parameters of TP-LADRC, so as to obtain the tradeoff between flutter control, anti-disturbance control, and anti-windup performance. Fourth, RBDE algorithm is originally designed with new adaptation mechanism to improve the optimal tuning results and reduce computation cost. The TP-LADRC closed-loop stability is proved. Final, comparative simulation results show proposed method has the superiority in robust flutter control, disturbance rejection, and microtab compensation, with need of little knowledge of system.