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Parallel Structure of Six Wheel-legged Robot Model Predictive Tracking Control based on Dynamic Model

Bomeng Wang, Junzheng Wang, Shoukun Wang, Jiehao Li

发表年份
2019
引用次数
11

摘要

In the research of wheel-legged robots, trajectory tracking control is the inevitable requirement. In this paper, a trajectory tracking control scheme based on model predictive control for the parallel mechanism of six wheel-legged robot is proposed. A dynamic model was employed to reduce the amount of calculations for planning and control. In the model, the dynamic nonlinear constraints such as the tire slip rate and the roll caused by the lateral acceleration need to be considered. Finally, the control method is verified in the dynamic model. The simulation results show that all dynamic constraints can be maintained within a given interval and the control method has obvious tracking effect improvement.

关键词

Control theory (sociology)Model predictive controlAccelerationTrajectoryRobotComputer scienceNonlinear modelNonlinear systemTracking (education)Slip (aerodynamics)

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