Design And Realization Of Control System Of Multi-axis Teaching Robot Based On Neural Network

This paper mainly studies the path planning problem of multi-axis teachingrobots。 It gives design of hardware, the design of control software and pathoptimization method. Teaching robots is a kind of robots which are multi-joints ormore freedom robot in the field of teaching. Teaching robots is widely used by theschools and universities in the country. Students can operate the teaching robots byprogramming to control stepping motor. The teaching robots can run according to thecommands coming from the communication interface, also according to the programfixed in single chip.This paper mainly induce the path planning of the teaching robot, which includesthe design hardware of teaching robot, the design of the power system, design ofcontrol mainboard, design of lower computer system and the software in the uppercomputer control system. Paper discusses the interpolation algorithm, mainlyincluding the right Angle space and joint space interpolation algorithm, on the basisof the discussion section, discusses polynomial interpolation problem and the manyinterpolation problem. It gives the robot structure and operational mode, and furtheranalysis the motion control system. It design a kind of multi-axis motion controller. Itadopts VB and C language to realize the control algorithm of the path planning andsimulation.As the traditional robot control method, the difficult model building, Manyconstraints, controlling complex. In this paper I use artificial neural network to robotupper computer control. This paper introduces the Hopfield neural network and studythe Hopfield neural network design. Using the improved Hopfield neural network toplan path for the three axis teaching robot and optimize trace. Through comparing Thepath before and after optimization of three axis teaching robot simulation results, canvery obviously observe that the path after optimized of three axis teaching robotshorten a lot than before. By using the improved Hopfield to optimize trace, satisfiedthe experimental results, the research for the subsequent laid a theoretical foundation.