A tube-based robust nonlinear predictive control approach to semiautonomous ground vehicles 论文

2014Vehicle System Dynamics引用 215
Vehicle Dynamics and Control SystemsReal-time simulation and control systemsRobotic Path Planning Algorithms

详细信息

发表期刊/会议
Vehicle System Dynamics
发表日期
2014-04-08
发表年份
2014

关键词

Vehicle Dynamics and Control SystemsReal-time simulation and control systemsRobotic Path Planning Algorithms

摘要

This paper proposes a robust control framework for lane-keeping and obstacle avoidance of semiautonomous ground vehicles. It presents a systematic way of enforcing robustness during the MPC design stage. A robust nonlinear model predictive controller (RNMPC) is used to help the driver navigating the vehicle in order to avoid obstacles and track the road centre line. A force-input nonlinear bicycle vehicle model is developed and used in the RNMPC control design. A robust invariant set is used in the RNMPC design to guarantee that state and input constraints are satisfied in the presence of disturbances and model error. Simulations and experiments on a vehicle show the effectiveness of the proposed framework.