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Optimization of Wheel Position for the Leg/Wheel Robots using Model Predictive Control considering Supporting Area and Center of Gravity

Yuji Yanagii, Kenichiro Nonaka, Kazuma Sekiguchi

Year
2015
Citations
2

Abstract

In this study, we realize optimization of wheel position which prevents falling over for the leg/wheel robots. The prevention of falling over is realized by minimizing a performance index using model predictive control (MPC). The performance index is maximizing the area of a supporting leg polygon and realizing the center of gravity (CoG) position which prevents falling over. In this paper, we show the effectiveness through simulation.

Keywords

Center of gravityCogModel predictive controlPosition (finance)Falling (accident)Polygon (computer graphics)RobotControl theory (sociology)Computer scienceSimulation

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