On-Line Roundness Error Compensation via P-Integrator Learning Control

1992 ◽  
Vol 114 (4) ◽  
pp. 476-480 ◽  
Author(s):  
C. J. Li ◽  
S. Y. Li

The work described is the result of a research project for developing a roundness error compensation scheme in turning processes based on the p-integrator learning controller and an on-line metrology system. The objective is to eliminate the repeatable error in turning operations. The scheme was realized on a CNC lathe. The effectiveness of the scheme is supported by the experimental results obtained through workpiece inspections.

2000 ◽  
Vol 123 (4) ◽  
pp. 567-575 ◽  
Author(s):  
Eric H. K. Fung ◽  
S. M. Yang

This paper describes a methodology of online measuring and compensating spindle error motions without using a precalibrated master. The method is based on a combination of forecasting compensatory control (FCC) and error separation techniques. The real time recursive ARMA modeling technique is used for the modeling and forecasting of workpiece errors while the error compensation is performed by means of two-dimensional piezo-actuated tool movements. Experimental results have shown that an improvement of 42–47 percent was achieved for the roundness error of workpieces in the taper turning operations.


1993 ◽  
Vol 115 (1) ◽  
pp. 149-159 ◽  
Author(s):  
P. M. Ferreira ◽  
C. Richard Liu

Quasistatic errors are the major contributors to positioning inaccuracies of machine tools. These errors, estimated to account for 70 percent of the errors of the machine, have been observed to be as high as 70 to 120 μm for production class machining centers. In this paper, a model for these errors is developed. Further, it is shown that the parameters for this model can be estimated by the observation of a few (nine) error vectors in the machine’s workspace. These two results form the basis for a viable error compensation scheme; the model for error compensation and the parameter estimation for updating the model. Experimental results verify the validity of the approach. An order-of-magnitude improvement in the accuracy of the machine, with respect to a calibration frame, was observed.


1982 ◽  
Vol 104 (2) ◽  
pp. 139-150 ◽  
Author(s):  
R. Bedini ◽  
P. C. Pinotti

The technological and economic aspects of the on-line optimization of turning operations on lathes equipped with a Computerized Numerical Control (CNC) are discussed. A model of the machining process suitable for developing an Adaptive Constrained Control (ACC) is described. For optimization, a hill-climbing strategy which can be software implemented in the operating system of the CNC is used. Performance of such an ACC is also compared with the more general Adaptive Control Optimization (ACO) System. Machining tests carried out on a CNC lathe fitted with the ACC System are reported and discussed. The practical effectiveness of the ACC so developed and the reduction in machining time are demonstrated with reference to complete working cycles of typical workpieces.


1985 ◽  
Vol 107 (4) ◽  
pp. 397-399 ◽  
Author(s):  
H. Suzuki ◽  
K. J. Weinmann

This paper describes the design of an on-line tool wear sensor for straight turning operations, which will lead to the realization of adaptive control for optimization (ACO). Tool wear is detected by measuring the change in distance between tool holder and work surface using a stylus which is mounted on the tool holder. The stylus movement is sensed by a displacement transducer. The experimental results indicate that the sensor is capable of measuring tool wear with satisfactory accuracy.


The system of route correction of an unmanned aerial vehicle (UAV) is considered. For the route correction the on-board radar complex is used. In conditions of active interference, it is impossible to use radar images for the route correction so it is proposed to use the on-board navigation system with algorithmic correction. An error compensation scheme of the navigation system in the output signal using the algorithm for constructing a predictive model of the system errors is applied. The predictive model is building using the genetic algorithm and the method of group accounting of arguments. The quality comparison of the algorithms for constructing predictive models is carried out using mathematical modeling.


2013 ◽  
Vol 703 ◽  
pp. 240-243 ◽  
Author(s):  
Yan Jun Zhao ◽  
Shou Guang Cheng ◽  
Bin Qu

The truck scale is more and more applied on the weighing system. To seek illegal profits, many kinds of truck scale cheating method is found in the weighing system. To monitoring the truck scale cheating method, the truck scale cheating automatic monitoring system based on the GPRS is brought out in this paper. The truck scale cheating automatic monitoring system is designed. The monitoring system includes three parts: the monitoring terminal, the GPRS transmission module and the upper monitoring system. The truck scale measurement data of the sensors are collected by the monitoring terminal and sent to the upper monitoring system through the GPRS module. The experimental system is established on the pneumatic conveying system and the experiment is carried out. The experimental results show that the automatic monitoring system can on-line monitor the truck scale cheating method and improves the security of the truck scale weighing system.


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