DocumentCode
581370
Title
High resolution position estimation for advanced motion control based on FPGA
Author
Nandayapa, Manuel ; Mitsantisuk, Chowarit ; Ohishi, Kiyoshi
Author_Institution
Dept. of Electr. Eng., Nagaoka Univ. of Technol., Nagaoka, Japan
fYear
2012
fDate
25-28 Oct. 2012
Firstpage
3808
Lastpage
3813
Abstract
This paper presents a new method to obtain high resolution position using the incremental encoder signal. In addition, the high resolution position has been used for velocity estimation and torque disturbance estimation by disturbance observer. FPGA implementation is performed using short sampling time, which offers high performance in the motion control algorithms. The high position estimation is produced by the normalization of the number of clock pulses per pulse encoder. Thus, the fractional step can be evaluated at every sampling time. So, the fractional step is integrated every sampling time to the incremental encoder signal. The position with high resolution reduces the noise in the velocity estimation and torque estimation; thus, their bandwidth can be increased. The proposed method is verified in a velocity control and force control based on disturbance observer.
Keywords
electric sensing devices; estimation theory; field programmable gate arrays; force control; motion control; observers; position control; sampling methods; torque control; velocity control; FPGA implementation; advanced motion control; clock pulses per pulse encoder; disturbance observer; force control; fractional step; hgh resolution position estimation; high position estimation; incremental encoder signal; motion control algorithms; normalization; short sampling time; torque disturbance estimation; torque estimation; velocity control; velocity estimation; Field programmable gate arrays; Observers; Tin; Torque;
fLanguage
English
Publisher
ieee
Conference_Titel
IECON 2012 - 38th Annual Conference on IEEE Industrial Electronics Society
Conference_Location
Montreal, QC
ISSN
1553-572X
Print_ISBN
978-1-4673-2419-9
Electronic_ISBN
1553-572X
Type
conf
DOI
10.1109/IECON.2012.6389284
Filename
6389284
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