Date of Award
2022
Document Type
Dissertation
Degree Name
Doctor of Philosophy (PhD)
Department
Electrical and Computer Engineering
Committee Chair
Yuri Shtessel
Committee Member
Farbod Fahimi
Committee Member
Laurie L Joiner
Committee Member
Shangbing Ai
Committee Member
Craig Newborn
Subject(s)
Launch vehicles (Astronautics)--Control systems, Space vehicles--Control systems, Sliding mode control
Abstract
Sliding mode control and observation techniques are widely used in aerospace applications, including aircraft, UAVs, launch vehicles, missile interceptors, and hypersonic missiles. This work is dedicated to developing a MATLAB based sliding mode controller design and simulation software toolbox that aims to support aerospace vehicle applications. An architecture of the proposed aerospace sliding mode control toolbox (SMC Aero) using the relative degree approach is developed. The created SMC Aero libraries include the design of first order sliding mode control (1-SMC), second order sliding mode control (2-SMC), higher order sliding mode (HOSM) control (either fixed gain or adaptive), as well as higher order sliding mode differentiators, and control allocation tools. The efficacy of the developed SMC Aero toolbox is confirmed by two case studies: the controller design and simulation of the resource prospector lander (RPL) soft landing on the Moon, and launch vehicle (LV) attitude control and simulation in an ascent mode.
Recommended Citation
Kode, Sai Susheel Praneeth, "Development of aerospace sliding mode control toolbox : relative degree approach with resource prospector lander and launch vehicle case studies" (2022). Dissertations. 241.
https://louis.uah.edu/uah-dissertations/241