Title :
Selective precision motion control using weighted sensor fusion approach
Author :
Kok Kiong Tan ; Poi Voon Er ; Rui Yang ; Chek Sing Teo
Author_Institution :
SIMTech-NUS Joint Lab. (Precision Motion Syst.), Nat. Univ. of Singapore, Singapore, Singapore
Abstract :
With the continued increasing demand for high precision in robotics and automation, the accuracy of the position measurement is fundamental and critically important to achieve high precision control performance. Given common conflicting interests in cost versus performance considerations, or even among different performance measures arising in the same application, the need for an effective balance among these issues can arise to motivate the use of multiple sensors for the same measurement. Examples of such scenarios will be highlighted in the paper and an approach towards precision motion control with a selective fusion of multiple signal candidates is furnished. A specific application towards precision motion control of a linear motor using a magnetic encoder and a soft position sensor in conjunction with an analog velocity sensor is demonstrated.
Keywords :
motion control; sensor fusion; analog velocity sensor; linear motor; magnetic encoder; selective precision motion control; sensor measurement; signal candidates; soft position sensor; weighted sensor fusion approach; Accuracy; Artificial neural networks; Noise; Noise level; Position measurement; Robot sensing systems; Velocity measurement; Multiple Sensor Fusion; Precision Motion Control; Selective Control;
Conference_Titel :
Mechatronics and Automation (ICMA), 2013 IEEE International Conference on
Conference_Location :
Takamatsu
Print_ISBN :
978-1-4673-5557-5
DOI :
10.1109/ICMA.2013.6617914