Research Of The High Precision Control Of Linear Motor Using Quantitative Feedback

Precision positioning platform is the key component of precision machinery, there is a wide range of applications. As the people's demand is increasing day by day, the traditional rotation servo and screw drive mode already cannot satisfy people's needs. Due to the elimination of the middle transmission links, linear motor can achieve very accuracy, at the same time, the difficulty of control is increased. Therefore, the research of precision positioning platform driven by linear motor has positive practical significance.This thesis first analyzes the structure of the system. Then, the choice and application of main components were introduced. Then through the analysis of uniaxial motion, the poor dynamic stiffness characteristics of linear motor system was revealed. After completing system modeling of uniaxial kinematics, parameters measurement experiment aiming at system uncertainty was designed, finally, uniaxial dynamic model with parameter uncertainties was obtained. In order to meet the needs of engineering appliance, speed loop and position loop controller was obtained with the quantitative feedback theory (QFT) controller design method. As the extensive use of PID controller, the PID controller design with QFT method is presented. According to the specific application, this paper respectively designed speed loop PI controller and the position loop P controller. Finally, linear motor system dynamic stiffness was improved through systems experiment, which validates the effectiveness of the controller design.