A new DMOC-based approach to solve Goddard rocket problem

Jiawei Zhang*, Weizhong Zhang, Jiayuan Shan

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Citations (Scopus)

Abstract

A new methodology - DMOC (Discrete Mechanics and Optimal Control) is presented to solve the classic Goddard rocket problem. This method firstly discretizes the Lagrange-d'Alembert principle for the rocket system, the resulting forced discrete Euler-Lagrange equations then serve as constraints for the optimization of a given cost functional. Therefore the optimal control problem is converted into a nonlinear programming (NLP) problem, which is modelled in AMPL (Advanced Mathematical Programming Language) and solved in a solver named as IPOPT (Interior Point Optimizer). Finally, the DMOC-based approach successfully solves the Goddard rocket problem, which is a terminal free, singular optimal control problem with path constrain; the results are proved reliable and effective by comparison with the results of conventional solution and statistical analysis.

Original languageEnglish
Title of host publication2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012
Pages2165-2169
Number of pages5
DOIs
Publication statusPublished - 2012
Event2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012 - Chengdu, China
Duration: 5 Aug 20128 Aug 2012

Publication series

Name2012 IEEE International Conference on Mechatronics and Automation, ICMA 2012

Conference

Conference2012 9th IEEE International Conference on Mechatronics and Automation, ICMA 2012
Country/TerritoryChina
CityChengdu
Period5/08/128/08/12

Keywords

  • AMPL
  • DMOC
  • Goddard rocket problem
  • IPOPT

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