Energy optimal trajectory planning of an underwater robot using a genetic algorithm

Author:

Bende Vikrant1,Pathak Pushparaj M1,Dixit Kedar S1,Harsha SP1

Affiliation:

1. Robotics and Control Laboratory, Indian Institute of Technology, India

Abstract

This paper presents optimal trajectory planning for an autonomous underwater robot. The optimization parameter is taken as the energy consumed by the robot to traverse its arm tip from a predefined initial point to a final point. The bond graph technique is used for modeling the robot and a genetic algorithm is used as an optimization tool. A polynomial trajectory is considered so that the tip movement is smooth. SYMBOLS Shakti¯ is used as bond graph modeling software and its special feature of generation of CPP code containing the robot model’s expressions is used. The genetic algorithm is implemented on the generated CPP code. Simulation and results for an energy efficient trajectory are presented.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Control and Systems Engineering

Reference14 articles.

1. Dixit KS. Dynamic modeling and control of underwater robot. MTech Dissertation, Indian Institute of Technology, India, 2007.

2. Pathak PM. Strategies for trajectory, attitude, and impedance control of space robots. PhD Thesis, Indian Institute of Technology, India, 2004.

3. Ridao P, Batlle J, Carreras M. Dynamics model of an underwater robotic vehicle. Research report, IIiA 01-05-RR. Girona, Spain: Institute of Informatics and Applications, University of Girona, 2001, pp.1–50.

4. An effective robot trajectory planning method using a genetic algorithm

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