Integrated Guidance and Control Design for the Terminal Phase of a Reusable Launch Vehicle with Vertical Landing Capability Using a Fuzzy Neural Network

Please enable javascript in your browser.

Safari Mermeti, Mohammad Reza | 2025

0 Viewed

Type of Document: M.Sc. Thesis
Language: Farsi
Document No: 58394 (45)
University: Sharif University of Technology
Department: Aerospace Engineering
Advisor(s): Fathi Jegarkandi, Mohsen
Abstract:
In this thesis, an integrated guidance and control system is designed for a reusable launch vehicle with vertical landing capability. Given the complexities arising from disturbances, nonlinear dynamics, and uncertainties during atmospheric re-entry, a disturbance observer based on a fuzzy neural network is developed to estimate these parameters in real time. The integration of fuzzy logic with a neural network learning algorithm enables the identification of a wide range of disturbances while reducing dependence on designer expertise. The control law is formulated using the sliding mode control method, incorporating the effects of disturbances. The results demonstrate that the proposed method, while maintaining accuracy, requires fewer control parameters and exhibits greater robustness against uncertainties compared to previous approaches. Monte Carlo simulations confirm the effectiveness of this method under various operational conditions. Based on these results, it can be stated with 97.35% confidence that the tracking error remains within the specified range
Keywords:
Integrated Guidance and Control (IGC) ; Neuro Fuzzy Network ; Reusable Flexible Launch Vehicle (RFLV) ; Sliding Mode Control ; Disturbance Observer

No TOC