ADP-Based Intelligent Tracking Algorithm for Reentry Vehicles Subjected to Model and State Uncertainties

• Published in: IEEE transactions on industrial informatics Vol. 19; no. 4; pp. 6047 - 6055
• Main Authors: Hu, Guanjie, Guo, Jianguo, Guo, Zongyi, Cieslak, Jerome, Henry, David
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 01.04.2023; The Institute of Electrical and Electronics Engineers, Inc. (IEEE); Institute of Electrical and Electronics Engineers
• Subjects: Adaptation models; Adaptive control; Adaptive dynamic programming (ADP); Aerodynamics; Algorithms; Attitude control; Automatic Control Engineering; Computer Science; Control theory; Cost function; Dynamic programming; Heuristic algorithms; Informatics; intelligent tracking; model uncertainty; Optimization; Reentry; Reentry vehicles; reentry vehicles (RVs); Stability analysis; state uncertainty; Tracking control; Tracking errors; Uncertainty; Vehicle dynamics; Zero sum games; Reentry Vehicle; Intelligent Tracking; Adaptive Dynamic Programming

This article presents an adaptive dynamic programming-based intelligent control algorithm for the attitude tracking issue of reentry vehicles subject to model and state uncertainties simultaneously. The traditional control approaches struggle to achieve satisfactory tracking performance since the mo...