噴涂機器人的軌跡規(guī)劃方法研究
[Abstract]:With the wide application of industrial robots, the manufacturing technology of our country is booming and developing towards the advanced equipment with higher degree of automation. Trajectory planning is a key part of the control system of a six-DOF arm spraying robot as a research topic in this paper. In order to make the spraying robot run more smoothly, the adaptive controllable algorithm is used to plan the trajectory of the robot. Firstly, the DH matrix transformation is used to establish the mathematical model of the six-degree-of-freedom manipulator, and the forward and inverse kinematics of the robot are calculated according to the corresponding mathematical model. In order to solve the problems of path interpolation and poor continuity in robot trajectory planning, this paper plans the robot trajectory from three levels, which are adaptive speed planning layer. In the adaptive velocity planning layer, compared with the trapezoidal velocity planning and sinusoidal velocity planning, the S-type curve is used in this paper. In this paper, two kinds of S-type velocity planners are designed, which can adapt to all kinds of situations, and divide the space path of robot into two aspects: space position and attitude fitting in the space pose path fitting layer. The cubic B-spline interpolation is used to solve the smooth transition problem of position space. The attitude solution of robot is carried out by using unit quaternion and the spherical interpolation curve is used to fit the position trajectory of attitude space. The points with large curvature in the path are calculated to be marked, and the speed limit here is limited to ensure that the robot can run smoothly at the high curvature point, and then optimize the speed on the path that requires frequent acceleration and deceleration. In order to prevent the robot from starting and stopping frequently in the course of motion, the speed of the path is optimized on the basis of the robot trajectory planning condition. Finally, the adaptive controllable trajectory planning algorithm is simulated by MATLAB software, and the feasibility of the proposed algorithm is verified.
【學位授予單位】:哈爾濱工業(yè)大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:TP242
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