Optimization of Velocity Loop Parameters in CNC Servo System

2011 ◽  
Vol 411 ◽  
pp. 255-258 ◽  
Author(s):  
Bin Gao Yu ◽  
Lin Shi ◽  
Kun Qi Wang
Keyword(s):  
Machine Tools ◽  
Comprehensive Evaluation ◽  
Particle Swarm ◽  
Servo System ◽  
Servo Control ◽  
Cnc Machine Tools ◽  
Particle Swarm Algorithm ◽  
Cnc Machine ◽  
Loop Control ◽  
Swarm Algorithm

To optimizing efficiently control parameters in feed servo system for adequately giving out the CNC machine tools, the velocity loop control model is built, and the comprehensive evaluation function is given. The standard particle swarm algorithm is improved to optimizing the parameters of velocity loop control in CNC machine tools. It shows the best overall performance of the velocity loop in CNC machine tools that parameters optimized by improved particle swarm algorithm Compared with genetic algorithm, the standard particle swarm algorithm and handy calculation. This optimized algorithm is a new efficient ways to solve parameter optimization of CNC servo control system.

Health status evaluation method of CNC machine tools based on grey clustering analysis and fuzzy comprehensive evaluation

2021 ◽  
pp. 1-18
Author(s):  
Xiaoqing Huang ◽  
Zhilong Wang ◽  
Shihao Liu
Keyword(s):  
Health Status ◽  
Clustering Analysis ◽  
Machine Tools ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Fuzzy Comprehensive Evaluation ◽  
Indicator System ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Grey Clustering

In order to solve the problem of health evaluation of CNC machine tools, an evaluation method based on grey clustering analysis and fuzzy comprehensive evaluation was proposed. The health status grade of in-service CNC machine tools was divided, and the performance indicator system of CNC machine tools was constructed. On the above basis, the relative importance of each performance and its indicators were combined, and grey clustering analysis and fuzzy comprehensive evaluation was utilized to evaluate the health status of in-service CNC machine tools to determine their health grade. The proposed health status evaluation method was applied to evaluate the health level of an in-service gantry CNC machine that can be used for the machining propellers, and the results shown that the health status of the whole gantry CNC machine tool is healthy. The proposed evaluation method provides useful references for further in-depth research on the health status analysis and optimization of CNC machine tools.

Reliability Analysis of CNC Machine Tools Based on Fuzzy Theory

2015 ◽  
Vol 713-715 ◽  
pp. 7-10 ◽  
Author(s):  
Li Tao
Keyword(s):  
Machine Tools ◽  
Comprehensive Evaluation ◽  
Fuzzy Theory ◽  
Fuzzy Comprehensive Evaluation ◽  
Cnc Machine Tools ◽  
Uncertain Information ◽  
Cnc Machine ◽  
Allocation Model ◽  
Reliability Allocation ◽  
Allocation Method

There are many factors influencing the reliability allocation of CNC machine tools and some are difficult to analyze quantitatively, a comprehensive reliability allocation method is proposed using interval analysis, fuzzy comprehensive evaluation and analytic hierarchy process. Many influence factors were considered and endowed with different weight respectively according to the influence degree. In this paper, a reliability allocation model is proposed for CNC machine tools, which used interval number instead of real number to express uncertain information. It could make use of the field test information and experts’ experience comprehensively. Finally, the application of this method is illustrated with an example, and the results showed that the allocation method is feasible and effective for the reliability allocation of CNC machine tools.

The Effects of Tuning Controller Gains for Servo Feed Unit Positioning Accuracy

2011 ◽  
Vol 317-319 ◽  
pp. 1974-1978
Author(s):  
Ling Lin Kong ◽  
Duan Neng Li ◽  
Ke Li
Keyword(s):  
Machine Tools ◽  
Laser Interferometer ◽  
Servo System ◽  
Pi Controller ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Positioning Accuracy ◽  
Ac Servo ◽  
And Control ◽  
Feed Unit

Positioning accuracy of servo feed unit makes an important effect to processing precision in CNC machine tools. The effects in positioning accuracy mainly are the precisions of mechanism and servo system. And the actions of tuning controller gains should directly affect the servo system precision. This paper, a servo system model and its P/PI controller has been formulated and simulated, using an AC servo feed unit as a tested. Through tuning gains of P/PI controller, analyses and control the effects for the feed unit positioning accuracy. Ultimately, experiments have been carried out to test feed unit by laser interferometer. Its shows that tuning gains of P/PI controller, which given in paper, has effectively improved the positioning accuracy of servo feed unit.

Modeling and Simulation for Feed Servo System in CNC Machine Tool

2012 ◽  
Vol 510 ◽  
pp. 345-349 ◽  
Author(s):  
Xue Jun Nie
Keyword(s):  
Machine Tool ◽  
Performance Optimization ◽  
Machine Tools ◽  
Transfer Functions ◽  
Servo System ◽  
Simulation Models ◽  
Cnc Machine Tools ◽  
Cnc Machine Tool ◽  
Cnc Machine ◽  
The Relationship

Feed servo system is an important part in CNC machine tool. In order to promote CNC machine tools precision, it is particularly important to enhance the control methods research on feed servo system. In this paper, different mathematical models of CNC machine tools feed servo system in different control modes are established, and their transfer functions are obtained, also the corresponding simulation models are constructed by using Simulink tools under MATLAB environment. Through simulating, the relationship between the systems parameters and the performance of servo system are obtained, some reliable theoretical basis can be achieved for improving and enhancing CNC machine tool servo system performance. Therefore some references for the performance optimization of feed servo system in CNC machine tool are provided.

Development of CNC Machine Running-In Instrument

2011 ◽  
Vol 101-102 ◽  
pp. 77-80
Author(s):  
Liang Ke
Keyword(s):  
Machine Tools ◽  
Control Program ◽  
Servo Control ◽  
Cnc Machine Tools ◽  
Guide Rail ◽  
Cnc Machine ◽  
Mechanical Assembly ◽  
High Demand ◽  
Mechanical Parts ◽  
Vital Effect

With high demand of CNC machine tools accuracy, machines are needed to run-in more than 48 hours before selling. As a key link of last process in mechanical assembly of CNC machine, the importance of CNC machine running-in has been approved to have vital effect on the safety, reliability and lifetime. CNC machine running-in instrument is used for test and run in mechanical parts of CNC machines including screw, guide rail and bearings. The paper presents the function of the CNC machine running-in instrument, principle, hardware circuits, the software flowchart of running-in instrument and part of the servo control program.

Fuzzy-Comprehensive Evaluation of Use Reliability of CNC Machine Tools

2011 ◽  
Vol 464 ◽  
pp. 374-378 ◽  
Author(s):  
Zhao Jun Yang ◽  
Xiao Cui Zhu ◽  
Ya Zhou Jia ◽  
Li Ding Wang ◽  
Bin Bin Xu ◽  
...  
Keyword(s):  
Mathematical Model ◽  
Machine Tools ◽  
Comprehensive Evaluation ◽  
Fuzzy Theory ◽  
Evaluation Model ◽  
Fuzzy Comprehensive Evaluation ◽  
Cnc Machine Tools ◽  
Cnc Machine ◽  
Evaluation Theory ◽  
Failure Data

This paper chose multi-index to provide a comprehensive evaluation model to evaluate the use reliability of CNC machine tools as a single assessment indicator is biased. As the number of evaluation factors is huge and it is difficult to get the exact values, a fuzzy theory is applied. Reliability mathematical model and maintainability mathematical model were established based on failure data selected from filed test and calculated the estimation values of reliability indexes. Subsequently, a fuzzy comprehensive evaluation mathematical model of CNC machine tools was constructed which combined fuzzy with comprehensive evaluation theory. Using this model could evaluate reliability level of CNC machine tools accurately and integrative.

Analysis of Attribute Reduction of Rough Set and CNC Machine Fault Diagnosis Based on Particle Swarm

2012 ◽  
Vol 214 ◽  
pp. 835-839
Author(s):  
Zhuang Wu
Keyword(s):  
Fault Diagnosis ◽  
Rough Set ◽  
Attribute Reduction ◽  
Particle Swarm ◽  
Fault Identification ◽  
Particle Swarm Algorithm ◽  
Data Sets ◽  
Cnc Machine ◽  
Related Data ◽  
Swarm Algorithm

After reasoning and calculation, fault diagnosis can automatically identify the causes of malfunction based on the fault symptoms, which is the core task of fault diagnosis. This paper applies the particle swarm algorithm and rough set to the fault diagnosis, and proposes fault diagnosis knowledge acquisition, rules optimization and fault identification based on rough set attribute reduction of particle swarm. Firstly, this paper introduces the rough set attribute reduction. Secondly, the particle swarm algorithm is applied to the rough set attribute reduction algorithm. Finally, the correctness and superiority of this algorithm are proved from the reduction experimental results of related data sets.

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