Research on the Control System of Linear Motor Driving Using Wavelet Transform

Author(s):  
Yingfeng Chen ◽  
Changjiu Li ◽  
Lijun Zhao ◽  
Jiefan Cui
1981 ◽  
Vol PER-1 (11) ◽  
pp. 21-22
Author(s):  
Takashi Umemori ◽  
Koichi Matsuoka ◽  
Kazumi Matsui ◽  
Takao Otsubo

2014 ◽  
Vol 490-491 ◽  
pp. 1138-1141
Author(s):  
Yu Ping Zhao ◽  
Yu Hai Xu

This article is in view of the linear motor aspects of application development in the field of electric machine tool equipment technical requirements analysis, linear motor with its high speed and high acceleration transmission has been in processing center, CNC milling machine, lathe, grinding machine, compound machine, laser is widely used in machine tools and heavy machine tool, in the aerospace, automotive, mold, energy, general machinery in areas such as plays a special role. Linear motor has precise control test system, reasonable matching of the technical indicators, to make it on the electric machine driven by linear motor can realize stable precision mobile and linear motor used for electric spark machine tool is another innovative application achievement of the modern advanced manufacturing industry. Domestic electric machine mostly adopts five axis NC gear rack drive control system, using the linear motor drive control system was still in the stage of research, to promote the linear motor is widely used in the field of electric machine, and the demand analysis.


2012 ◽  
Vol 472-475 ◽  
pp. 632-636 ◽  
Author(s):  
Cun Zhi Yao ◽  
Gui Xiang Zhang

The non-linear and time-varying natures of the process together with the large disturbances of several types are the key challenge for the control design. A controller based on multi- resolution decomposition using wavelets is presented in the paper. The wavelet is used to decompose the error signal into signals at different scales.These signals are then used to compensate for the uncertainties in the plant.The controller is similar to proportional integral derivative controller in principle and application. the output from this control system represents the cumulative effect of uncertainties such as measurement noise, frictional variations and external torque disturbances which manifest at different scales. This controller better solves the nonlinear and time-varying togetther with the great disturbance.


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