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This paper proposes an adaptive nonlinear sliding mode control for feed drive systems. The aim is to increase precision by minimizing tracking errors of each feed drive axis without additional energy consumption. The proposed adaptive sliding mode control law is used to adjust controller gains based on the tracking error at each sampling time. Therefore, an appropriate control input can be generated...
Friction is the main disturbance in mechanical systems especially in computerized numerical control machine tools with high precision, speed, and performance requirements. Much recent research have proven that a controller with friction compensation provides better performance. Some classical friction models such as the Coulomb–viscous–Stribeck friction model, the Lugre model, and the Generalized...
In machine tool control, controller design for dynamic uncertainty is an important issue. A contouring controller that uses an approximated contour error as a feedback signal provides effective results in reducing contouring error and consumed energy compared to a general tracking controller. However, the exact feed-drive dynamics must be known in most conventional contouring controllers. Although...
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