Position Control of Linear Motor by Using Enhanced Cross-Coupling Algorithm

2010 ◽  
Vol 34 (3) ◽  
pp. 369-374
Author(s):  
Sang-Oh Han ◽  
Kun-Soo Huh
Keyword(s):  
Position Control ◽  
Cross Coupling ◽  
Linear Motor ◽  
Coupling Algorithm

Non-linear adaptive control of a linear-motor-driven X—Y table via estimating friction and ripple forces

2008 ◽  
Vol 222 (6) ◽  
pp. 911-918 ◽  
Author(s):  
K Huh ◽  
S Han ◽  
B Lee
Keyword(s):  
High Speed ◽  
Position Control ◽  
External Disturbance ◽  
Cross Coupling ◽  
Adaptive Controller ◽  
Linear Motor ◽  
Contour Error ◽  
Mechanical Transmission ◽  
Non Linear ◽  
Coupling Algorithm

The linear motors are easily affected by load disturbance, ripple force, friction, and parameter variations because there is no mechanical transmission to reduce the effects of external disturbance. For high-speed/high-accuracy position control of a linear-motor-driven X—Y table, a non-linear adaptive controller including a cross-coupling algorithm is proposed in this paper. The non-linear effects such as friction and ripple force are estimated and compensated. The cross-coupling algorithm is adopted to reduce the contour error of the two-axial system. The performance of the proposed controller is evaluated through the computer simulations and experiments.

Experimental Verification of Dynamic Contour Error Estimation for High-Precision Contouring of Two-Axis Servo-Systems

2015 ◽  
Author(s):  
Azad Ghaffari ◽  
A. Galip Ulsoy
Keyword(s):  
High Precision ◽  
Position Control ◽  
Sliding Mode ◽  
Single Point ◽  
Cross Coupling ◽  
Contour Error ◽  
System Control ◽  
Control Loops ◽  
Estimation Algorithms ◽  
Coupling Algorithm

High-precision contouring is important in machining. A practically proven method to improve contouring precision is adding a cross-coupling algorithm, which acts on contour error, to the existing position control loops. The contour error estimate (CEE) significantly affects performance of the cross-coupling algorithm. Conventional CEE methods rely on static single-point algorithms. A Newton-based CEE algorithm which effectively improves CEE and dramatically reduces contouring error has recently been proposed [22]. In this paper, instead of a separate cross-coupling control it is proposed to modify the position control loops, in this case integral sliding mode control, to incorporate the contour error in the control loop. Various experiments to identify the effect of 1) number of required iterations of the Newton-based CEE, 2) reference feedrate and curvature, and 3) sharp corners on overall performance of the proposed cross-coupling algorithm are reported. The experimental setup includes a two-axis servo-system. Control and estimation algorithms are implemented on two sbRIO 9632 from National Instruments.

An Equivalent-Plane Cross-Coupling Position Control for Contour-Accuracy Improvement in Three-Axis Free-Form Contour Following Tasks

2018 ◽  
Vol 141 (4) ◽  
Author(s):  
Jian-Wei Ma ◽  
De-Ning Song ◽  
Zhen-Yuan Jia ◽  
Wen-Wen Jiang ◽  
Fu-Ji Wang ◽  
...  
Keyword(s):  
Error Control ◽  
Position Control ◽  
Three Dimensional ◽  
Cross Coupling ◽  
Experimental Tests ◽  
Numerical Control ◽  
Free Form ◽  
Contouring Error ◽  
Contour Following ◽  
Better Than

To reduce the contouring errors in computer-numerical-control (CNC) contour-following tasks, the cross-coupling controller (CCC) is widely researched and used. However, most existing CCCs are well-designed for two-axis contouring and can hardly be generalized to compensate three-axis curved contour following errors. This paper proposes an equivalent-plane CCC scheme so that most of the two-axis CCCs or flexibly designed algorithms can be utilized for equal control of the three-axis contouring errors. An initial-value regeneration-based Newton method is first proposed to compute the foot point from the actual motion position to the desired contour with a high accuracy, so as to establish the equivalent plane where the estimated three-dimensional contouring-error vector is included. After that, the signed contouring error is computed in the equivalent plane, thus a typical two-axis proportional-integral-differential (PID)-based CCC is utilized for its control. Finally, the two-axis control commands generated by the typical CCC are coupled to three-axis control commands according to the geometry of the established equivalent plane. Experimental tests are conducted to verify the effectiveness of the presented method. The testing results illustrate that the proposed equivalent-plane CCC performs much better than conventional method in both error estimation and error control.

A simulation of MPC application for linear motor position control

2002 ◽  
Vol 13 (1-4) ◽  
pp. 181-185 ◽  
Author(s):  
Keiichi Hirano ◽  
Yongsu Um ◽  
Yoshio Kano
Keyword(s):  
Position Control ◽  
Linear Motor

Robust position control of a transportation carriage directly driven by linear motor using wavelet neural

2002 ◽  
Vol 15 (5) ◽  
pp. 479-489 ◽  
Author(s):  
Niahn-Chung Shieh ◽  
Chin-Tzung Chang ◽  
Chun-Liang Lin ◽  
Horn-Yong Jan
Keyword(s):  
Position Control ◽  
Linear Motor

A Position Control Scheme Using High-Order Iterative Learning Control for Permanent Magnet Linear Motor

2012 ◽  
Vol 546-547 ◽  
pp. 236-241
Author(s):  
Song Yang ◽  
Hang Ma ◽  
Jun You Yang ◽  
Huai Yang Shen ◽  
Sheng Quan Chang
Keyword(s):  
Permanent Magnet ◽  
Iterative Learning Control ◽  
Position Control ◽  
Learning Control ◽  
Linear Motor ◽  
Iterative Learning ◽  
High Order ◽  
State Uncertainty ◽  
Permanent Magnet Linear Motor ◽  
Point To Point

A high-order Iterative Learning Control (ILC) strategy is designed for Permanent Magnet Linear Motor (PMLSM). This iterative learning controller is designed to high-order open and closed loop PID-type. This paper gives the convergence conditions of the proposed controller and proves that the tracking bound is determined by the bounds of state uncertainty and output disturbance to the system. The proposed ILC strategy result shows that position precision of PMLSM in point-to-point motion can be effectively improved with this scheme. The experiments demonstrate that the presented ILC strategy is effective and robust.

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