Robust Adaptive Optimal Predictive Control of a Near-Space Vehicle Using Functional Link Network
A novel nonlinear adaptive control method is presented for a near-space hypersonic vehicle（NHV) in the presence of strong uncertainties and disturbances. The control law consists of the optimal generalized predictive control （OGPC) method and functional link network（FLN) adaptive adjustment law. The output prediction defined on finite horizon is carried out via Taylor series expansion. The FLN adaptive law is used to cancel the unmodeled dynamics and unknown disturbances in flight through online learning. The stability analyses of the close-loop system are provided also. The simulation results show satisfactory performance of the controller for the tracking of reference attitude angles and angular accelerations，and the robustness to parameters variations and the disturbance rejection are successfully accomplished.
near-space hypersonicvehicle Optimal Predictive Control Robust Adaptive adaptivecontrol
Yan-li DU Qing-xian WU Chang-sheng JIANG Li Zhou
College of Automation Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China
国内会议
南京
英文
176-185
2008-10-18（万方平台首次上网日期，不代表论文的发表时间）