TY - GEN
T1 - The study on position accuracy of micro-coordinate measuring machine
AU - Yang, Chuan
AU - Zhao, Qiang
AU - Zhao, Yu Long
AU - Jing, Wei Xuan
PY - 2008
Y1 - 2008
N2 - In order to measure the microcosmic profiles of ultrasmooth surfaces, a high-accuracy noncontact micro-Coordinate Measuring Machine (micro-Coordinate Measuring Machine, micro-CMM) is developed in this paper. The working table of this measurement device is located by a macro-micro dual-drive system. A closed-loop control system, which is composed by a laser interferometer and stepper motors, is adopted to improve the positioning accuracy of the macro-positioning stage. The experimental results show that the positioning accuracy of this system is obviously improved and satisfies the positioning requirement of the macro-positioning stage. Because the positioning accuracy of the flexure-based micro-positioning stage can not satisfy the design requirement under the control of the traditional PID control, A PID control system based on Adaptive Neural-Fuzzy Inference is proposed to improve the control accuracy of the micro-positioning stage. The experimental results show that this system can improve the positioning accuracy of the micro-positioning stage, and basically meets the requirement of the design.
AB - In order to measure the microcosmic profiles of ultrasmooth surfaces, a high-accuracy noncontact micro-Coordinate Measuring Machine (micro-Coordinate Measuring Machine, micro-CMM) is developed in this paper. The working table of this measurement device is located by a macro-micro dual-drive system. A closed-loop control system, which is composed by a laser interferometer and stepper motors, is adopted to improve the positioning accuracy of the macro-positioning stage. The experimental results show that the positioning accuracy of this system is obviously improved and satisfies the positioning requirement of the macro-positioning stage. Because the positioning accuracy of the flexure-based micro-positioning stage can not satisfy the design requirement under the control of the traditional PID control, A PID control system based on Adaptive Neural-Fuzzy Inference is proposed to improve the control accuracy of the micro-positioning stage. The experimental results show that this system can improve the positioning accuracy of the micro-positioning stage, and basically meets the requirement of the design.
UR - https://www.scopus.com/pages/publications/69949133440
U2 - 10.1115/MicroNano2008-70242
DO - 10.1115/MicroNano2008-70242
M3 - 会议稿件
AN - SCOPUS:69949133440
SN - 0791842940
SN - 9780791842942
T3 - 2008 Proceedings of the ASME - 2nd International Conference on Integration and Commercialization of Micro and Nanosystems, MicroNano 2008
SP - 97
EP - 102
BT - 2008 Proceedings of the ASME - 2nd International Conference on Integration and Commercialization of Micro and Nanosystems, MicroNano 2008
T2 - 2008 ASME 2nd International Conference on Integration and Commercialization of Micro and Nanosystems, MicroNano 2008
Y2 - 3 June 2008 through 5 June 2008
ER -