Concurrent Learning Adaptive Control of the aeroelastic generic transport model

This paper presents a multiple-input Concurrent Learning Model Reference Adaptive Control (CL-MRAC) approach applied to longitudinal dynamics of the generic transport model (GTM) aircraft. A reduced order model of the short period flight dynamics coupled with structural bending and torsion is used. This aeroelastic model of the commercial passenger aircraft incorporates parametric uncertainties for mass and structural stiffness affecting both the structural dynamics and coupling. CL-MRAC with nonparametric Budgeted Kernel Restructuring (BKR) assigns centers and regressor vectors dynamically. The CL controller is used alongside an optimal tracking controller to enforce performance criteria on the rigid body dynamics. Results from this method demonstrate new insights into the application of large scale CL-MRAC implementations that arise from multiple-input multiple-output (MIMO) models.