Abstract
A robust adaptive dynamic programming (RADP) controller based on online data collection is proposed to solve the optimal attitude-tracking control problem for hypersonic vehicles. An augmented state system consisting of expected command and error is established. A discount factor is added into the performance index function and a robust coefficient is added into the control law. By changing the traditional policy iteration, the Lyapunov equation and the optimal control law are taken as prerequisites to solve the optimal value function. The online state information is collected and the neural network is used to fit the performance index function and the control law through the policy iteration inside the equation until the termination condition of the iteration is reached. The simulation results show that the control law obtained from the RADP augmented tracking control can make the vehicle have good robustness under the condition of aerodynamic parameter perturbation.
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Wang, Y. et al. (2023). Attitude-Tracking Control Based on Robust Adaptive Dynamic Programming for Hypersonic Vehicles. In: Yan, L., Duan, H., Deng, Y. (eds) Advances in Guidance, Navigation and Control. ICGNC 2022. Lecture Notes in Electrical Engineering, vol 845. Springer, Singapore. https://doi.org/10.1007/978-981-19-6613-2_19
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DOI: https://doi.org/10.1007/978-981-19-6613-2_19
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