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

Abstract

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.