模型预测控制
弹道
控制理论(社会学)
最优控制
背景(考古学)
非线性系统
计算机科学
点(几何)
代表(政治)
数学优化
控制(管理)
数学
人工智能
政治
法学
古生物学
物理
天文
生物
量子力学
政治学
几何学
作者
Christoph Rösmann,Frank Hoffmann,Torsten Bertram
标识
DOI:10.1109/ecc.2015.7331052
摘要
This contribution presents a novel approach for nonlinear time-optimal model predictive control (MPC) based on Timed-Elastic-Bands (TEB). The TEB merges the states, control inputs and time intervals into a joint trajectory representation which enables planning of time-optimal trajectories in the context of model predictive control. Model predictive control integrates the planning of the optimal trajectory with state feedback in the control loop. The TEB approach formulates the fixed horizon optimal control problem for point-to-point transitions as a nonlinear program. The comparative analysis of the TEB approach with state-of-the-art approaches demonstrates its computational efficiency. The TEB approach generates a trajectory that approximates the analytical time-optimal trajectory in few iterations. This efficiency enables the refinement of the planned state and control sequence within the underlying closed-loop control during runtime.
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