Modeling, identification and analysis of a novel two-axis differential micro-feed system

Abstract With the development of precision and ultra-precision machining technology, the demand of drive feed system increases. Non-linear friction in a conventional drive feed system (CDFS) feeding at low speed is one of the main factors that lead to the complexity of the feed drive. The CDFS will inevitably enter or approach a non-linear creeping area at extremely low speed. A novel two-axis differential micro-feed system (TDMS) is developed in this paper to overcome the accuracy limitation of CDFS. A dynamic model of TDMS is first established. Then, a distributed component friction parameter identification method using a genetic algorithm (GA) to identify the friction parameters of a TDMS is introduced. A proportional-derivate feed drive position controller with an observer-based friction compensator is implemented to achieve an accurate trajectory tracking performance. Finally, comparative experiments demonstrate the effectiveness of the TDMS in inhibiting the disadvantageous influence of non-linear friction and the validity of the proposed identification method for TDMS.

[1]  K.J. Astrom,et al.  Revisiting the LuGre friction model , 2008, IEEE Control Systems.

[2]  P. Dupont,et al.  Friction Modeling for Control , 1993, 1993 American Control Conference.

[3]  Byung-Kwon Min,et al.  Distributed Component Friction Model for Precision Control of a Feed Drive System , 2015, IEEE/ASME Transactions on Mechatronics.

[4]  Masayoshi Tomizuka,et al.  Zero Phase Error Tracking Algorithm for Digital Control , 1987 .

[5]  Zhen Zhang,et al.  High precision tracking control of a servo gantry with dynamic friction compensation. , 2016, ISA transactions.

[6]  Christian Brecher,et al.  Machine tool feed drives , 2011 .

[7]  Cheng-Jen Lin,et al.  An intelligent sensor fusion system for tool monitoring on a machining centre , 1996 .

[8]  C. Hsieh,et al.  Dynamic behavior and modelling of the pre-sliding static friction , 2000 .

[9]  Carlos Canudas de Wit,et al.  A survey of models, analysis tools and compensation methods for the control of machines with friction , 1994, Autom..

[10]  Bin Yao,et al.  Adaptive robust control of linear motors with dynamic friction compensation using modified LuGre model , 2009, Autom..

[11]  Jan Swevers,et al.  The generalized Maxwell-slip model: a novel model for friction Simulation and compensation , 2005, IEEE Transactions on Automatic Control.

[12]  Jenq-Shyong Chen,et al.  Mechanical model and contouring analysis of high-speed ball-screw drive systems with compliance effect , 2004 .

[13]  R. Johansson,et al.  Friction compensation based on LuGre model , 2006, Proceedings of the 45th IEEE Conference on Decision and Control.

[14]  Carl J. Kempf,et al.  Disturbance observer and feedforward design for a high-speed direct-drive positioning table , 1999, IEEE Trans. Control. Syst. Technol..

[15]  Yuxin Su,et al.  Disturbance-rejection high-precision motion control of a Stewart platform , 2004, IEEE Transactions on Control Systems Technology.

[16]  Liming Wang,et al.  A new CAD/CAM/CAE integration approach to predicting tool deflection of end mills , 2014 .

[17]  Chih-Jer Lin,et al.  Observer-based robust controller design and realization of a gantry stage , 2011 .

[18]  Carlos Canudas de Wit,et al.  A new model for control of systems with friction , 1995, IEEE Trans. Autom. Control..

[19]  N. S. Kumar,et al.  Effect of Spindle Speed and Feed Rate on Surface Roughness of Carbon Steels in CNC Turning , 2012 .

[20]  Pascal Bigras,et al.  LuGre model-based friction compensation and positioning control for a pneumatic actuator using multi-objective output-feedback control via LMI optimization , 2009 .

[21]  Wenzeng Guo,et al.  A two-wheeled inverted pendulum robot with friction compensation , 2015 .