arXiv (Cornell University) · 2018 · 22 citations · 16 references
ComputingComputer ScienceRobotics EngineeringBicycle PlanningMotion PlanningRoboticsKinematic ControlKinematic ModelingModel Predictive ControlMotion ControlTrajectory GenerationVehicle ControlBicycle ModelControl ArchitectureCurve RadiusHigh Fidelity Vehicle SimulationKinematic Trajectory PlanningRobot Trajectory GenerationTrajectory PlanningVehicle Path Planning
This paper proposes to combine a 10Hz motion planner based on a kinematic\nbicycle Model Predictive Control (MPC) and a 100Hz closed-loop\nProportional-Integral-Derivative (PID) controller to cope with normal driving\nsituations. Its novelty consists in ensuring the feasibility of the computed\ntrajectory by the motion planner through a limitation of the steering angle\ndepending on the speed. This ensures the validity of the kinematic bicycle\nmodel at any time. The architecture is tested on a high-fidelity simulation\nmodel on a challenging track with small curve radius, with and without\nsurrounding obstacles.\n
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