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NPI Final Presentation: Real-Time Adaptive Entry Guidance

Seelbinder, David and Büskens, Christof and Theil, Stephan (2016) NPI Final Presentation: Real-Time Adaptive Entry Guidance. Project Report.

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Abstract

The real-time generation of optimal trajectories and controls for nonlinear systems is a technology of interest to many applications. But the online solution of an optimal control problem (OCP) is often not computationally feasible on embedded systems. We present a method to generate a near-optimal control sequence and the corresponding state trajectory based on the parametric sensitivity analysis (PSA) of nonlinear programs (NLPs) which does not require performing the classical gradient based NLP process online and hence reduces the computational load. The OCP is transcribed into a parametric NLP which is solved offline for a nominal set of parameters. Additionally the parametric sensitivities of the optimal solution with respect to different types of perturbations are computed at discrete points along the nominal trajectory. The sensitivities are used online in a Taylor expansion of the nominal solution and an iterative feasibility and optimality restoration to compute a new near-optimal control sequence and trajectory from the disturbed state to the terminal set without resolving a disturbed instance of the original NLP. This process is repeated successively in the neighborhood of the nominal trajectory. The PSA algorithm is used as feed forward command and trajectory generation to provide the input for a drag-energy tracking method. The proposed method is demonstrated for the guided, hypersonic entry of a small capsule into the Martian atmosphere. Results from a 3 DoF Monte Carlo campaign and a LEON2 processor-in-the-loop test will be presented. Finally a short overview over the developed software tools will be given.

Item URL in elib:https://elib.dlr.de/103882/
Document Type:Monograph (Project Report)
Title:NPI Final Presentation: Real-Time Adaptive Entry Guidance
Authors:
AuthorsInstitution or Email of AuthorsAuthors ORCID iD
Seelbinder, Daviddavid.seelbinder (at) dlr.dehttps://orcid.org/0000-0003-4080-3169
Büskens, Christofbueskens (at) math.uni-bremen.deUNSPECIFIED
Theil, StephanStephan.Theil (at) dlr.deUNSPECIFIED
Date:2016
Refereed publication:No
Open Access:Yes
Gold Open Access:No
In SCOPUS:No
In ISI Web of Science:No
Status:Published
Keywords:Optimal Control, Guidance, Re-entry, Parametric Sensitivity, Real-Time
Institution:Deutsches Zentrum für Luft- und Raumfahrt
Department:RY-GNC
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Space
HGF - Program Themes:Space Transport
DLR - Research area:Raumfahrt
DLR - Program:R RP - Raumtransport
DLR - Research theme (Project):R - Shefex III
Location: Bremen
Institutes and Institutions:Institute of Space Systems > Navigation and Control Systems
Deposited By: Seelbinder, David
Deposited On:14 Apr 2016 09:21
Last Modified:31 Jul 2019 20:01

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