<p>Predictive Control of Axis Drift in Linear Motion Control Systems</p>
Online Publishing @ NISCAIR
View Archive InfoField | Value | |
Authentication Code |
dc |
|
Title Statement |
<p>Predictive Control of Axis Drift in Linear Motion Control Systems</p> |
|
Added Entry - Uncontrolled Name |
Ramesh, H ; Department of Mechatronics Engineering, Thiagarajar College of Engineering, Madurai 625 015, Tamil Nadu, India Arockia Edwin Xavier, S ; Department of Electrical & Electronics Engineering, Thiagarajar College of Engineering, Madurai 625 015, Tamil Nadu, India Thangapandian, P ; Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal 576 104, Karnataka, India Anandh, N ; Department of Electrical and Electronics Engineering, Manipal Institute of Technology, Manipal 576 104, Karnataka, India |
|
Uncontrolled Index Term |
Ball screw assembly, FOPID, Linear motion control system, MPC, PID controller |
|
Summary, etc. |
<p>The positional accuracy of a linear motion system used in machine tools can be enhanced by using closed loop feedbackinvolving a positional measurement by means of an encoder.The position error is developed in the linear motion system because of the thermal expansion of the ball screw assembly and also due to the error in encoder measurement values. The traditional error compensation and correction methods used in a linear motion system do not satisfy all the dynamic performance requirements and constraints. In this paper, a Model Predictive Control (MPC) algorithm is proposed to reduce the position error of the linear motion control system at no-load and light load conditions. The future predictions made by the model predictive controller are based on the behaviour of the ball screw motion mechanism and encoder measurements to enhance the position accuracy of the linear motion system. The performance of the proposed model predictive controller is verified for no-load conditions in ball screw based linear motion system, and the results have been shown to outperform the current Proportional, Integral and Derivative (PID) and Fractional Order Proportional, Integral and Derivative(FOPID) control methods.</p> |
|
Publication, Distribution, Etc. |
Journal of Scientific and Industrial Research (JSIR) 2022-08-05 17:01:39 |
|
Electronic Location and Access |
application/pdf http://op.niscair.res.in/index.php/JSIR/article/view/44784 |
|
Data Source Entry |
Journal of Scientific and Industrial Research (JSIR); ##issue.vol## 81, ##issue.no## 08 (2022): Journal of Scientific and Industrial Research |
|
Language Note |
en |
|