DocumentCode :
577041
Title :
Trajectory optimization for a high speed planing boat based on Gauss pseudospectral method
Author :
Salarieh, Hassan ; Ghorbani, Mohammad T.
Author_Institution :
Dept. of Mech. Eng., Sharif Univ. of Technol., Tehran, Iran
fYear :
2011
fDate :
27-29 Dec. 2011
Firstpage :
195
Lastpage :
200
Abstract :
In this paper, the problem of Optimal Trajectory Planning for a high speed planing boat under nonlinear equality and inequality path constraints, is addressed. First, a nonlinear mathematical model of the craft´s dynamic is constructed. To solve a trajectory optimization problem, we can utilize the indirect or direct methods. In the indirect methods, the maximum principle of Pontryagin is used to transform the optimal control problem into Euler-Lagrange equations, on the other hand, in the direct methods it is necessary to transcribe the optimal control problem into a nonlinear programming problem (NLP) by discretization of states and controls. The resulted NLP can be solved by well-developed algorithms such as SNOPT. We use direct method to optimize the trajectories by solving an optimal control problem using the Gauss pseudospectral method (GPM). An example of boat berthing in a circular obstacle environment is presented to demonstrate the effectiveness of the approach for designing optimal maneuvers.
Keywords :
Gaussian processes; boats; collision avoidance; marine control; maximum principle; motion control; nonlinear programming; trajectory control; velocity control; Euler-Lagrange equation; GPM; Gauss pseudospectral method; NLP; Pontryagin maximum principle; SNOPT; boat berthing; circular obstacle environment; craft dynamic; high speed planing boat; inequality path constraint; nonlinear equality; nonlinear mathematical model; nonlinear programming problem; optimal control; optimal maneuver; optimal trajectory planning; trajectory optimization; Boats; Optimal control; Optimization; Planing; Planning; Trajectory;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Instrumentation and Automation (ICCIA), 2011 2nd International Conference on
Conference_Location :
Shiraz
Print_ISBN :
978-1-4673-1689-7
Type :
conf
DOI :
10.1109/ICCIAutom.2011.6356655
Filename :
6356655
Link To Document :
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