Inverse dynamics particle swarm optimization applied to bolza problems

Dario Spiller, Robert G. Melton, Fabio Curti

Research output: Chapter in Book/Report/Conference proceedingConference contribution


The Inverse-dynamics Particle Swarm Optimization has already been successfully applied to several minimum-time problems. This numerical technique based on swarm intelligence is applied to solve optimal control problems formulated with the differentially flat approach. The advantages of this method lie in the global search ability of the optimizer and the reduction of the independent functions due to the exploitation of the differential flatness. However, it is known that optimal control problems formulated with either differential inclusion or differential flatness can lead to nonconvex problems with undesirable numerical properties. This paper in intended to show that, considering difficult problems with nonconvex state constraints and nonconvex cost functions, the proposed numerical technique can lead to satisfactory near-optimal solutions. Minimum-time, minimum-energy and minimum-effort maneuvers are addressed considering a constrained slew-maneuver as a test case.

Original languageEnglish (US)
Title of host publicationASTRODYNAMICS 2017
EditorsJohn H. Seago, Nathan J. Strange, Daniel J. Scheeres, Jeffrey S. Parker
PublisherUnivelt Inc.
Number of pages20
ISBN (Print)9780877036456
StatePublished - 2018
EventAAS/AIAA Astrodynamics Specialist Conference, 2017 - Stevenson, United States
Duration: Aug 20 2017Aug 24 2017

Publication series

NameAdvances in the Astronautical Sciences
ISSN (Print)0065-3438


OtherAAS/AIAA Astrodynamics Specialist Conference, 2017
Country/TerritoryUnited States

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering
  • Space and Planetary Science


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