scholarly journals Online Estimation and Control for Feed Drive Systems With Unmeasurable Parameter Variations

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 33966-33976 ◽  
Author(s):  
Tiancheng Zhong ◽  
Ryozo Nagamune ◽  
Alexander Yuen ◽  
Wencheng Tang
Keyword(s):  
Online Estimation ◽  
Feed Drive ◽  
Parameter Variations ◽  
Estimation And Control ◽  
Drive Systems ◽  
And Control

Development of a Feed Drive Simulator

2012 ◽  
Vol 516 ◽  
pp. 154-159 ◽  
Author(s):  
Ryuta Sato
Keyword(s):  
Mathematical Model ◽  
Parameter Identification ◽  
Frequency Response ◽  
Unknown Parameters ◽  
Control Frequency ◽  
Feed Drive ◽  
Friction Parameter ◽  
Drive Systems ◽  
Identification Function ◽  
And Control

This paper proposes a feed drive simulator which consists of a parameter identification module and a simulation module. The simulation module is based on a mathematical model which consists of mass, inertias, stiffness, damping, frictions, servo gains, electrical delay and control frequency. The parameter identification module consists of 3 functions: friction parameter identification function, frequency response identification function and electric delay identification function. The identification algorithms for unknown parameters are newly proposed. In order to confirm the effectiveness of the simulator it was applied to actual feed drive systems. According to the results of the confirmation, it is confirmed that the developed simulator can identify the parameters systematically, and various motions can be simulated by the simulator.

Online estimation and control of polymer quality in a copolymerization reactor

AIChE Journal ◽  
2002 ◽  
Vol 48 (5) ◽  
pp. 1013-1021 ◽  
Author(s):  
Myung-June Park ◽  
Su-Mi Hur ◽  
Hyun-Ku Rhee
Keyword(s):  
Online Estimation ◽  
Estimation And Control ◽  
And Control

Feed Drive Simulator

2011 ◽  
Vol 5 (6) ◽  
pp. 875-882 ◽  
Author(s):  
Ryuta Sato ◽  
Keyword(s):  
Parameter Identification ◽  
Identification System ◽  
Unknown Parameters ◽  
Friction Forces ◽  
Control Frequency ◽  
Feed Drive ◽  
Nc Machine ◽  
Nc Machine Tools ◽  
Drive Systems ◽  
And Control

Feed drive systems consisting of servo motors and ball screws are generally used with NC machine tools, wire bonders, tip mounters, etc. Higher speed and accuracy are continuously required to the feed drive systems. In order to achieve higher performance of the systems, it is effective to analyze the dynamic behaviors using simulations. This study proposes a feed drive simulator consists of parameter identification and simulation modules. The parameter identification module consists of 3 sub-modules; identification system for friction forces, identification system for frequency response, and identification system for electric delay. The identification algorithms for unknown parameters are newly proposed. The simulation module is based on a mathematical model which consists of mass, inertias, stiffness, damping, frictions, servo gains, electrical delay, and control frequency. The simulation module also has a servo tuning function. The simulator, which includes a Graphical User Interface (GUI) was developed using Visual C++. Actual feed drive systems were used to confirm the effectiveness of the simulator. It was confirmed that the simulator identifies parameters systematically, simulates physical values for different motions, and automatically determines servo gains based on the parameters identified.

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