工業(yè)機(jī)器人軌跡規(guī)劃及運(yùn)動(dòng)仿真系統(tǒng)研究
[Abstract]:With the development of science and technology, the society is heading for intelligence. The era of "intelligent factory" will enter the history of manufacturing industry, and industrial robot is the cornerstone of "intelligent factory". With the more and more strict requirements of the task, the research of industrial robot is more and more in-depth. This paper studies and simulates the problem of forward and inverse kinematics and trajectory planning, and builds a kinematics simulation system based on LabVIEW. The main contents of this paper are as follows: firstly, the development history and development status of industrial robot at home and abroad are described, and the background and research content of this paper are described. The research status of robot kinematics and trajectory planning is summarized. Secondly, according to the mechanism parameters of MZ07 industrial robot, the coordinate system of space connecting rod of the robot is established, and the homogenous transformation matrix of position and pose coordinates between joints is obtained by applying D-H parameter method. Thus, the kinematics equation of MZ07 industrial robot is solved by positive motion. In the inverse kinematics problem, the inverse kinematics of the robot is solved by using algebraic analytic method under the given position and orientation of the space point, and the joint variables in the process of motion are obtained by solving the inverse kinematics problem. The mathematical model of the robot is established by using Robotics Toolbox toolkit in MATLAB environment. On this basis, experiments are carried out on the forward and inverse motion solving algorithms of the robot respectively, and the results verify the correctness of the forward and inverse motion solving algorithms. Thirdly, this paper focuses on the trajectory planning interpolation algorithm in the joint space. For the MZ07 robot, the cubic polynomial and the fifth polynomial interpolation algorithm are used to carry out the trajectory planning, and the simulation is carried out. In order to reduce the acceleration of joints and reduce the impact force of joints, a mixed polynomial interpolation fitting method is proposed in order to reduce the joint acceleration and the impact force between joints. Simulation results under MATLAB environment show that the algorithm can reduce the acceleration of joints and reduce the impact force between joints. Finally, based on the development environment of LabVIEW and the powerful mathematical computing ability of MATLAB, a simulation system for kinematics of robot is built, and in this simulation system, The interpolation algorithm of trajectory planning is simulated and its experimental results are analyzed. The advantages of hybrid polynomial in trajectory planning in joint space are verified.
【學(xué)位授予單位】:陜西理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TP242.2
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