一种直接基于摆角约束的欠驱动桥式吊车轨迹规划方法（英文）

• 作 者: 王鹏程 方勇纯 江紫亚
• 机 构: Institute of Robotics and Automatic Information System(IRAIS), Nankai University,Tianjin Key Laborat
• 出 处: 自动化学报
• 发表日期: 2014年11期
• 关键词: swing desired trajectory 轨迹规划 crane payload 欠驱动 overhead kinematics constraint

This paper proposes a novel swing constraint-based trajectory planning method for nonlinear overhead crane systems.To enhance the efficiency and security of the transportation process, some desired trajectories are designed to achieve the following merits: 1) leading the trolley to reach the destination sufficiently fast; 2) keeping the payload swing in an acceptable domain;3) eliminating the residue swing when the trolley stops at the desired position. Specifically, the trajectories are divided into three stages. For each stage, the desired curve of the swing angle is directly constructed in accordance with anti-swing and zero-residual swing requirements, based on which the trolley trajectory is then obtained by analyzing the nonlinear kinematics of the crane system.An optimization mechanism is introduced to make intelligent compromises among the indices of transportation time, maximal swing angle, and so on. Both simulation and experimental results are provided to demonstrate the performance of the proposed direct swing constraint-based trajectory planning method.

This paper proposes a novel swing constraint-based trajectory planning method for nonlinear overhead crane systems. To enhance the efficiency and security of the transportation process, some desired trajectories are designed to achieve the following merits: 1) leading the trolley to reach the destination adequately 2) keeping the payload swing in an acceptable domain; 3) eliminating the residue swing when the trolley stops at the desired position. Specifically, the trajectories are divided into three stages. directly constructed in accordance with anti-swing and zero-residual swing requirements, based on which the trolley trajectory is then obtained by analyzing the nonlinear kinematics of the crane system. An optimization mechanism is introduced to make intelligent compromises among the indices of transportation time, maximal swing angle, and so on. Both simulation and experimental results are provided to demonstrate the per formance of the proposed direct swing constraint-based trajectory planning method.