面向復(fù)雜形體表面操作的工業(yè)機(jī)器人路徑規(guī)劃與仿真研究
[Abstract]:With the increasing of social labor costs, industrial robots are more and more widely used. In the production of industrial robots, the objects they face are becoming more and more complex. Therefore, it is of great significance to study the working methods of the robot on the surface of complex objects in order to improve the machining technology of industrial robots in China. In this paper, a path planning and simulation method of industrial robot is proposed for complex object surface operation. Firstly, the task path design of industrial robot is accomplished quickly by means of human-computer interactive mapping and feature extraction techniques, combined with the transformation of position and pose data and attribute operation for a given complex object. Secondly, by constructing adaptive hierarchical bounding box and analyzing the structure of manipulator and non-contact angle, the fast collision detection of industrial robot is realized. Thirdly, genetic algorithm is used to program the sequence of surface path processing, and the non-collision operation path is screened by collision detection model. Finally, the feasibility of the research results is verified by the industrial robot simulation system. The main contents of this paper are as follows: the fast task path construction technology of complex surface robot is studied. Through the interaction of the surface of the body and the operation of cutting between points, the geometric path closely aligned with the surface of the body is constructed quickly, and for the model boundary which is difficult to draw accurately, the feature edges are extracted by geometric and topological relations, and the feature edges are serialized. Thus the geometry path of body boundary is constructed quickly, the data transformation, transformation and compensation of the robot task path are carried out, and the key process parameters of the task path are set up. Finally, the feasibility of the method is verified by simulation experiments. The simulation collision detection technology of complex surface path robot is studied in this paper. Aiming at the problem of industrial robot operation simulation collision detection, this paper avoids the traditional method of constructing complicated hierarchical bounding box, and simulates the operation of robot with complex surface path. This paper probes into the collision detection of the robot with complex surface path based on AOAAE, which accelerates the speed of collision detection. Based on the characteristic analysis of the manipulator, the concept of the non-contact angle of the manipulator is put forward based on the extensiveness of the moving range of the arm. Using the structure and non-contact angle of the manipulator, the self-intersecting collision detection of the manipulator is analyzed, which improves the real-time performance of the collision detection. The complex path planning technology of shape surface based on genetic algorithm is studied. In this paper, we take the mapping surface lattice as the optimization target point, design the initial parameters of the target point and genetic operator to complete the planning of the surface lattice sequence of the object surface, establish a simplified model of the surface curve of the body, and combine the greedy method with the idea of greedy method. The location of the joining points of the adjacent paths is determined, and the method of multipath processing sequence on the surface of irregular bodies is given. On the basis of the above methods, the collision free path selection operation is further done, and the collision free approximate optimal path is obtained. A complex surface path planning and simulation system for industrial robot is developed. Based on the contents and methods of this paper, a complex object surface path planning and simulation system of industrial robot is developed, in which the function module and UI interface of off-line software are designed, and the tools such as virtual teacher and path planner are developed. In the simulation application example, the robot working environment is built, the task path is constructed, and the feasibility of the proposed method is verified synthetically by using the robot engraving and welding simulation operation.
【學(xué)位授予單位】:浙江大學(xué)
【學(xué)位級(jí)別】:碩士
【學(xué)位授予年份】:2017
【分類(lèi)號(hào)】:TP242.2
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