基于正態(tài)分布函數(shù)的工業(yè)機(jī)器人軌跡規(guī)劃及仿真分析
[Abstract]:Since the 21 century, a new round of industrial revolution with intelligent manufacturing as the core is quietly taking place. The industrial robot, as the core technology of intelligent manufacturing, has become an important symbol to measure the level of national manufacturing industry. Since Germany proposed "Industrial 4.0" and the United States "re-industrialization", on March 5, 2015, Premier Li Keqiang put forward the grand plan of "made in China 2025" for the first time in the "Government work report". Its aim is to improve the international competitiveness of China's manufacturing industry and seize the first opportunity in the new industrial revolution. After more than half a century of development, human beings have made a certain breakthrough in the core technology of industrial robots, and industrial robot technology has become increasingly mature. However, the problem of motion control and planning of industrial robots has always affected the rapid development of robot technology. For industrial robots, motion control and planning must be carried out in order to complete the corresponding tasks. It gives the working mode and the movement efficiency of the industrial robot system. Therefore, motion control and planning is the key technology of industrial robot research and development. The motion control and planning of industrial robot includes two parts: trajectory planning and path tracking. Trajectory planning is a long-term problem in motion control and planning. The trajectory planning of industrial robot depends to a great extent on the choice of motion interpolation equations in joint space. The motion interpolation equation represents the moving cost from the initial position to the terminal position of the robot. In this paper, PUMA560 industrial robot is chosen as the research object, and the properties of joint spatial motion interpolation equation in the process of point to point (PTP) motion of industrial robot are studied in detail. The main contents are as follows: first of all, Starting with the mathematical basis of industrial robot trajectory planning, this paper introduces the representation method of space position and pose of industrial robot, the mathematical modeling method of D-H parameter of industrial robot and the general joint space trajectory planning method. Secondly, on the basis of studying the general joint space interpolation function, a new joint space interpolation function, error function (indefinite integral of normal distribution function), is proposed in this paper. The angular displacement function of the robot is interpolated in the joint space by the error function, which makes the angular velocity of the robot normal distribution in the process of motion, thus greatly reducing the time of acceleration and deceleration of the industrial robot when it moves between two points in space. On the basis of meeting the requirements of kinematics and dynamics of industrial robots, the kinematic efficiency of robots is improved. Then, the parameter design of the proposed new interpolation function is carried out. According to the principle of "3 蟽", the parameter design of normal distribution function is carried out, and the angular displacement interpolation function (error function) is obtained by the indefinite integral. Then the error function is corrected according to the property of the interpolation function, and the general form of the angular displacement interpolation function is obtained. Finally, MATLAB and ADAMS software are used for joint simulation. The high order polynomial interpolation method and the normal distribution function interpolation method are simulated, respectively, and the effects of different interpolation functions on the working efficiency of PUMA560 industrial robot are analyzed and compared. The simulation results show that when the robot moves between any two points in space, the normal distribution function interpolation method in joint space can improve the robot's motion efficiency more than the higher order polynomial interpolation method.
【學(xué)位授予單位】:蘭州理工大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類號(hào)】:TP242
【相似文獻(xiàn)】
相關(guān)期刊論文 前10條
1 嚴(yán)明;全球工業(yè)機(jī)器人銷(xiāo)量將轉(zhuǎn)升[J];機(jī)電一體化;2000年02期
2 李瑞峰;新一代工業(yè)機(jī)器人系列產(chǎn)品開(kāi)發(fā)[J];機(jī)器人;2001年S1期
3 陳佩云,金茂菁,曲忠萍;我國(guó)工業(yè)機(jī)器人發(fā)展現(xiàn)狀[J];機(jī)器人技術(shù)與應(yīng)用;2001年01期
4 ;1999年韓國(guó)工業(yè)機(jī)器人數(shù)據(jù)[J];機(jī)器人技術(shù)與應(yīng)用;2001年02期
5 ;日本工業(yè)機(jī)器人發(fā)展概況[J];機(jī)器人技術(shù)與應(yīng)用;2001年03期
6 ;世界工業(yè)機(jī)器人產(chǎn)業(yè)發(fā)展動(dòng)向[J];今日科技;2001年11期
7 王田苗;工業(yè)機(jī)器人發(fā)展思考[J];機(jī)器人技術(shù)與應(yīng)用;2004年02期
8 彭惠民;;新一代工業(yè)機(jī)器人的開(kāi)發(fā)[J];鐵道機(jī)車(chē)車(chē)輛工人;2007年03期
9 ;工業(yè)機(jī)器人專題報(bào)道[J];機(jī)器人技術(shù)與應(yīng)用;2007年05期
10 徐方;;工業(yè)機(jī)器人產(chǎn)業(yè)現(xiàn)狀與發(fā)展[J];機(jī)器人技術(shù)與應(yīng)用;2007年05期
相關(guān)會(huì)議論文 前10條
1 吳繁;潘煉;;工業(yè)機(jī)器人單目雙視的應(yīng)用研究[A];中國(guó)計(jì)量協(xié)會(huì)冶金分會(huì)2009年年會(huì)論文集[C];2009年
2 ;工業(yè)機(jī)器人[A];日本機(jī)械學(xué)會(huì)技術(shù)路線圖[C];2008年
3 羅t,
本文編號(hào):2169374
本文鏈接:http://sikaile.net/kejilunwen/zidonghuakongzhilunwen/2169374.html