DocumentCode :
3136553
Title :
A new DMOC-based approach to solve Goddard rocket problem
Author :
Zhang, Jiawei ; Zhang, Weizhong ; Shan, Jiayuan
Author_Institution :
Key Lab. of Dynamic & Control of Flight Vehicle, Beijing Inst. of Technol., Beijing, China
fYear :
2012
fDate :
5-8 Aug. 2012
Firstpage :
2165
Lastpage :
2169
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.
Keywords :
aerospace control; discrete systems; nonlinear programming; optimal control; rockets; statistical analysis; AMPL; Advanced Mathematical Programming Language; DMOC-based approach; Goddard rocket problem; IPOPT; Lagrange-d´Alembert principle; NLP problem; cost functional; discrete Euler-Lagrange equation; discrete mechanics and optimal control; interior point optimizer; nonlinear programming; optimal control problem; optimization; rocket system; statistical analysis; Approximation methods; Mathematical model; Optimal control; Optimization; Programming; Reactive power; Rockets; AMPL; DMOC; Goddard rocket problem; IPOPT;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechatronics and Automation (ICMA), 2012 International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4673-1275-2
Type :
conf
DOI :
10.1109/ICMA.2012.6285678
Filename :
6285678
Link To Document :
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