This paper presents a strategy to integrate the planning and control for autonomous vehicles. The aim of this work is to provide a method that can yield controller feasible reference paths, i.e. paths that are not only dynamically feasible but are feasible under the action of a low-level feedback controller. The method is designed to find a control feasible parameterization of a collision-free path provided by a path generation scheme, e.g. rapidly-exploring random trees or one of its many variants. This parameterization is found such that the vehicle under the action of the low-level controller will be able to follow that path within a specified tolerance. The design is based on a feedback strategy with nested MPCs for planning and control. The results presented here are preliminary but hint at the benefits of such a strategy and suggest avenues for future work.
- Dynamic Systems and Control Division
Towards Integrated Planning and Control of Autonomous Vehicles Using Nested MPCs
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Maitland, A, & McPhee, J. "Towards Integrated Planning and Control of Autonomous Vehicles Using Nested MPCs." Proceedings of the ASME 2018 Dynamic Systems and Control Conference. Volume 3: Modeling and Validation; Multi-Agent and Networked Systems; Path Planning and Motion Control; Tracking Control Systems; Unmanned Aerial Vehicles (UAVs) and Application; Unmanned Ground and Aerial Vehicles; Vibration in Mechanical Systems; Vibrations and Control of Systems; Vibrations: Modeling, Analysis, and Control. Atlanta, Georgia, USA. September 30–October 3, 2018. V003T32A018. ASME. https://doi.org/10.1115/DSCC2018-9224
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