Control Method Research On The Two-Axis Motion Remote Control System

Motion control is an important branch of automatic control, and because it can realize the request of precise control for motion track and moving velocity, it has got extensive application foreground. Remote control system is to supervise the remote production or experiment process, implemented by local computer through Internet. The experimentation personnel can get the results through Internet directly, so remote control has important meaning in the development of experiment teaching through campus networks.This task is to control the two-axis motion system through networks, and net technology and motion controlling technology are used to explore remote control system.In order to improve motion accuracy of the two-axis motion system, the analysis is made in two aspects-single axis and two axis. As for single axis, PEWIN, the software given by the Programmable Multi-Axis Controller (PMAC), is used to find the best parameters of the PID controller and feedforward compensation controller. Then, the nonlinear friction in the system is compensated by the friction compensation controller with Genetic Algorithm(GA). The compensation controller can improve the system performance effectively. In two axis system, a circle interpolator is designed, and a new method based on GA-Neural Networks is proposed to adjust PID parameters online to reduce the tracking error. Then, an integrated controller based on RBF Neural Network(RBFNN) is designed to reduce the contouring error of the two axis. Experimental results show that the proposed integrated controller significantly improved accuracy in both tracking and contouring.At last, network database is established by using network database theory and SQL Server programming technology. Two-layer firewall technology and database access control technology are used to ensure network security, so the students, teachers and researchers all over school can supervise and control the two-axis motion system in the Internet.