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.