根据基于方位特征(Position and orientation characteristics,POC)的并联机构拓扑结构设计理论与方法,首先,对已提出的一类7个具有较好实用价值的SCARA并联机构,进行了拓扑结构分析,揭示了其POC集、自由度(含驱动副选取)、过约束数、...根据基于方位特征(Position and orientation characteristics,POC)的并联机构拓扑结构设计理论与方法,首先,对已提出的一类7个具有较好实用价值的SCARA并联机构,进行了拓扑结构分析,揭示了其POC集、自由度(含驱动副选取)、过约束数、耦合度以及输入-输出运动解耦性等5个最主要的拓扑特征,且发现这些机构的耦合度均较大,为2,表明其运动学正解和动力学求解十分复杂;继而基于机构拓扑结构降耦原理,又对κ=2的这7个机构进行了拓扑结构降耦优化,得到了低耦合度(κ=1),而机构POC、自由度(Degree of freedom,DOF)等保持不变的实现SCARA运动的14个新机型,不仅丰富了实现SCARA运动的4-DOF三平移一转动机型库,而且降低了这些机构的运动学和动力学代数求解难度,而其数值解可用一维搜索法方便求得,从而为这一类SCARA并联机构的运动学和动力学分析、设计及应用提供了理论基础。展开更多
Precise welding of the T-joints between aircraft hyperbolic panels and stringers is required. Therefore, a method of solving inverse kinematics equations for a cooperative welding robot with multiple manipulators base...Precise welding of the T-joints between aircraft hyperbolic panels and stringers is required. Therefore, a method of solving inverse kinematics equations for a cooperative welding robot with multiple manipulators based on neural networks was investigated. To build an effective Denavit-Hartenberg(DH)model for this robot, sample data was obtained considering the movement ranges of the robot joints.Based on back propagation(BP) and radial basis function(RBF) neural networks, 18 joint sub-spaces were mapped to the workspaces of three manipulators. The high-dimensional and nonlinear inverse kinematics problem was transformed into a multi-input and multi-output prediction model. The results revealed that the prediction model of solving the cooperative welding robot kinematics equations was quite accurate. Moreover, compared with the BP-based model, the calculation process of the RBF-based prediction model was slower, but yielded more accurate predictions.展开更多
文摘根据基于方位特征(Position and orientation characteristics,POC)的并联机构拓扑结构设计理论与方法,首先,对已提出的一类7个具有较好实用价值的SCARA并联机构,进行了拓扑结构分析,揭示了其POC集、自由度(含驱动副选取)、过约束数、耦合度以及输入-输出运动解耦性等5个最主要的拓扑特征,且发现这些机构的耦合度均较大,为2,表明其运动学正解和动力学求解十分复杂;继而基于机构拓扑结构降耦原理,又对κ=2的这7个机构进行了拓扑结构降耦优化,得到了低耦合度(κ=1),而机构POC、自由度(Degree of freedom,DOF)等保持不变的实现SCARA运动的14个新机型,不仅丰富了实现SCARA运动的4-DOF三平移一转动机型库,而且降低了这些机构的运动学和动力学代数求解难度,而其数值解可用一维搜索法方便求得,从而为这一类SCARA并联机构的运动学和动力学分析、设计及应用提供了理论基础。
基金supported by National Key R&D Program of China (2017YFB1301600)。
文摘Precise welding of the T-joints between aircraft hyperbolic panels and stringers is required. Therefore, a method of solving inverse kinematics equations for a cooperative welding robot with multiple manipulators based on neural networks was investigated. To build an effective Denavit-Hartenberg(DH)model for this robot, sample data was obtained considering the movement ranges of the robot joints.Based on back propagation(BP) and radial basis function(RBF) neural networks, 18 joint sub-spaces were mapped to the workspaces of three manipulators. The high-dimensional and nonlinear inverse kinematics problem was transformed into a multi-input and multi-output prediction model. The results revealed that the prediction model of solving the cooperative welding robot kinematics equations was quite accurate. Moreover, compared with the BP-based model, the calculation process of the RBF-based prediction model was slower, but yielded more accurate predictions.
