Research On The Motion Trail Control Strategy For Polishing Robot

Car rims cutting and polishing is a mechanical repetitive motion, traditional way of manual processing is a low efficiency and waste material production, there is a hidden trouble for workers,because they work in a dangerous environment and high intensity for a long time,only rely on manual processing way is unable to achieve the goal of maximum production. Polishing robot research and development is to save manpower and material resources, human production and improve the production efficiency requirements development of a set of intelligent devices, such as the research which has the function of grinding industrial robots and applies it into production, to reduce labor intensity, improve the efficiency of the factory, to save the production cost, reduce the labor costs has a very important significance.The research object of this article is processing car rim polishing robot, mainly from the theory of robot kinematics, process parameter optimization, the control strategy and so on were studied. researched the problems of rim cutting grinding process, put forward the polishing robot motion control strategy and path optimization idea on the basis of the analysis of the traditional artificial buffing, and analyzes the influence robot polishing effect of some process parameters, fuzzy algorithm is proposed to process parameters optimization to get a good robot that exist in the process of grinding and polishing effect, so as to achieve effective decrease grinding material loss, in the process of improve the effect of grinding, the goal is to improve the efficiency of industrial production and save the cost of production.By analyzing the problems of control method and path optimization and discussing the problem of kinematics of the robot, derives a solving formula of kinematics and inverse problem and be verified, the end of the robot working space is worked out by combining the structure of the robot and the known range of joint angles, robot simulation model is established with the help of the Matlab environment robot kit, the kinematics simulation of the robot in accordance with the provisions of the path to map out the robot motion simulation, the results meet the requirements and gives the example analysis of process parameters and movement mode. Simulation experiments verify the effectiveness of the proposed fuzzy control optimization algorithm, and using the neural network to optimize, the robot is obtained under the known path of motion, the results show that industrial polishing robot research work can provide the basis of theoretical research for the future.