scholarly journals Accurate Adaptive Compensation Method for Mechanical Structure Error of the Blade Measuring System

2018 ◽  
Vol 2018 ◽  
pp. 1-10
Author(s):  
Wei Shao ◽  
Peng Peng ◽  
Awei Zhou ◽  
Quanquan Zhu ◽  
Di Zhao
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Error Compensation ◽  
Laser Interferometer ◽  
Compensation Method ◽  
Measuring System ◽  
Adaptive Compensation ◽  
Mechanical Structure ◽  
Compensation Methods ◽  
Theoretical Significance

In view of the high precision requirement for mechanical structure of aeronautical blade measuring system, this paper proposes a laser interferometer to measure the error of the spatial nodes of the measuring system based on a comprehensive analysis of domestic and foreign error compensation methods for the measuring system. The optimized algorithm backpropagation (BP) neural network (OA-BPNN) compensation method is utilized to adaptively compensate for the systematic error of the mechanical system. Compared with the traditional polynomial fitting and genetic algorithm BP neural network (GA-BPNN) algorithm, the results show that the OA-BPNN algorithm is characterized by the best adaptability, precision, and efficiency for the adaptive error compensation. The spatial errors in the XYZ directions are reduced from 10.9, 60.1, and 84.2 μm to 1.3, 4.0, and 2.4 μm, respectively. The method is of great theoretical significance and practical value.

Adaptive Quadrant Error Compensation of Embedded CNC System Based on ARM and DSP

2011 ◽  
Vol 141 ◽  
pp. 174-179
Author(s):  
Yan Yu Ding ◽  
Guo Feng Wang ◽  
Zhi Feng Qiao ◽  
Zhi Yuan Tang ◽  
Xiang Gui Ling
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Feed Rate ◽  
Error Compensation ◽  
Structural Characteristics ◽  
Adaptive Compensation ◽  
Cnc System ◽  
Neural Network Algorithm ◽  
Software And Hardware ◽  
Embedded Cnc

This paper proposes a method of realizing the quadrant error compensation in the embedded CNC system based on ARM and DSP. The method combines the system’s structural characteristics of software and hardware, uses an improved BP neural network algorithm to improve the compensation efficiency and achieves adaptive compensation in the premise of ensuring adequate compensation accuracy. The simulation case shows that when the feed rate changes, the method can improve the outline precision of the processing path through quadrant position.

scholarly journals A Non-Delay Error Compensation Method for Dual-Driving Gantry-Type Machine Tool

Processes ◽  
2020 ◽  
Vol 8 (7) ◽  
pp. 748
Author(s):  
Qi Liu ◽  
Hong Lu ◽  
Xinbao Zhang ◽  
Yu Qiao ◽  
Qian Cheng ◽  
...  
Keyword(s):  
Machine Tool ◽  
Error Compensation ◽  
Prediction Method ◽  
Compensation Method ◽  
Industrial Robots ◽  
Numerical Control ◽  
Heavy Duty ◽  
Positioning Errors ◽  
Compensation Methods ◽  
Type Machine

The drive at the center of gravity (DCG) principle has been adopted in computer numerical control (CNC) machines and industrial robots that require heavy-duty and quick feeds. Using this principle requires accurate corrections of positioning errors. Conventional error compensation methods may cause vibrations and unstable control performances due to the delay between compensation and motor motion. This paper proposes a new method to reduce the positioning errors of the dual-driving gantry-type machine tool (DDGTMT), namely, a typical DCG-principle-based machine tool. An error prediction method is proposed to characterize errors online. An algorithm is proposed to quickly and accurately compensate the errors of the DDGTMT. Experiment results verify that the non-delay error compensation method proposed in this paper can effectively improve the accuracy of the DDGTMT.

The Study of Compensation Method to Numerically-Controlled Machine Tool Geometrical Error

2014 ◽  
Vol 670-671 ◽  
pp. 1403-1405
Author(s):  
Lian Bing Wang
Keyword(s):  
Machine Tool ◽  
Error Compensation ◽  
Geometric Error ◽  
Compensation Method ◽  
System Error ◽  
Nc Machine Tool ◽  
Geometrical Error ◽  
Compensation Methods ◽  
Nc Machine ◽  
Software Upgrade

In this paper, the cause of nc machine tool geometric error made a more detailed analysis, the system error compensation methods are summarized, and on this basis this paper expounds the applications of all kinds of error compensation method, in order to further realize the accuracy of machine tool software upgrade to lay the foundation.

Prediction of Machine Tool Thermal Error Compensation Based on SVMR and ARM11

2015 ◽  
Vol 740 ◽  
pp. 120-126
Author(s):  
Zhi Peng Zhang ◽  
Kang Liu ◽  
Feng Guo
Keyword(s):  
Neural Network ◽  
Support Vector Machine ◽  
Machine Tool ◽  
Bp Neural Network ◽  
Error Compensation ◽  
Thermal Error ◽  
Support Vector ◽  
Experiment Research ◽  
Further Development ◽  
Thermal Error Compensation

In order to improve the process precision of the machine tool, further development of SVMR was achieved by QT Creator. Support vector machine was applied to the ARM11 development board, SVMR model was online trained and real-time predicted the values of machine tool thermal error. Compared with the widely used BP neural network, this method has the characteristics of high compensation precision and strong generalization ability. Experiment research has proved that the stronger effectiveness and higher accuracy using this method.

Error compensation based on BP neural network for airborne laser ranging

Optik ◽  
2016 ◽  
Vol 127 (8) ◽  
pp. 4083-4088 ◽  
Author(s):  
Bing Wu ◽  
Shaojun Han ◽  
Jin Xiao ◽  
Xiaoguang Hu ◽  
Jianxin Fan
Keyword(s):  
Neural Network ◽  
Bp Neural Network ◽  
Error Compensation ◽  
Laser Ranging ◽  
Airborne Laser
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