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Feedback Based Technique for Improving Dynamic Performance of a
Small Size Machine Tool
Jonathan Abir, Stefano Longo, Paul Morantz, Paul Shore
Precision Mechatronic System Design and Control - Spring Topical Meeting - 2016
Jonathan Abir [email protected]
2
Research aim
• Improve the dynamic performance of a compact size CNC machine
Jonathan Abir [email protected]
Y axis
Z axis
X axis
B axis
A axis
C axis
0.6m 0.6m
1m
3
Research objectives
• Reduce the effect of machine frame resonances
• Improve the servo bandwidth (improve machining)
Jonathan Abir [email protected]
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Simplified linear motion system of the µ4
Slave side guideway
Master side guideway
Carriage
Encoder
491mm
609mm
215mm
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5
Dynamic mechanisms limiting servo control
X
F
Frame
Flexible guidance
X
F
Frame
Flexible frame
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6
System identification – frame resonance (1) experimental modal analysis
Jonathan Abir [email protected]
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System identification – frame resonance (2) experimental modal analysis
Carriage
Frame
Motion direction
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System identification – frame resonance (3) experimental modal analysis
Jonathan Abir [email protected]
Frame is distorted – reference point is distorted
Carriage
Frame
Motion direction
Flexible frame resonance in a servo plant
Flexible frame
( )( )
( )
X sP s
F s
9
Can be a destabilising effect
9 Jonathan Abir [email protected]
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Servo plant compensation techniques
• Filtering : Notch filter, Bi-quad filter, and Low pass filter
• Phase lag • Not robust for changes
Flexible frame
Jonathan Abir [email protected]
Machine frame concepts
Conventional
X
F Carriage
Frame
X
F Carriage
Force frame
Metrology frame
Metrology frame
X
F Carriage
Frame
BM
Balancing Mass
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Metrology frame in a machine tool
OAGM 2500 - Off Axis Grinding Machine
Glass reference bars
www.cranfieldprecision.com Shore P. et al. Big OptiX ultra precision grinding/measuring system. Proc. SPIE. 2005
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Balancing mass & metrology frame in a machine tool
ASML TWINSCAN – Lithography platform
Butler H. Position control in lithographic equipment. IEEE control magazine. 2011.
www.asml.com
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Virtual Metrology Frame concept
Xc
F
Frame
Xvmf Xf
Xc – Xf = Xvmf
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Virtual Metrology Frame concept – controller
C P +
Frame displacement
sensor
Encoder Xc
Xf
Xvmf
e Xset
+
Controller
Jonathan Abir [email protected]
16
Requirements of frame displacement sensor
• No reference point – “virtual metrology frame”
• Low delay
• Low noise – compared to the encoder
2( ) ( )a t dt d t
Jonathan Abir [email protected]
• Measure dynamic displacement of machine frame
2
0
2 0[ ( ) ] ( ) ...2
a t dt d ta
a t
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Frame displacement sensor - estimator (filter) design
Attenuating Double integrating
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19
Validation of the estimator - setup
Environmental compensation unit
Optics holder
Vibrating retroreflector
Vibrating Accelerometer
Static retroreflector
Beam splitter
Carriage motion
Jonathan Abir [email protected]
Laser interferometer
2
( ) sin( )
( ) sin( )
set
set
X t A t
a t A t
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Validation of the estimator - results
Min. 1% amplitude discrepancy
Jonathan Abir [email protected]
Estimator limitation
Max. 20% amplitude discrepancy
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Results of plant transfer function
Flexible frame
( )( )
( )
X sP s
F s
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23
Open loop Bode graph
fs – Servo bandwidth
φm – Phase margin >45º
40% improvement to servo bandwidth
Jonathan Abir [email protected]
Flexible frame
Gm – Gain margin >6dB
Notch filter @ 195Hz
Summary:
• Dynamic displacement sensor using accelerometer σ=30nm
• Servo plant compensation technique :
• Robust • No instability • No phase delay
• Improved the servo bandwidth by 40%
25 Jonathan Abir [email protected]
Summary:
• Dynamic displacement sensor using accelerometer σ=30nm
• Servo plant compensation technique :
• Robust • No instability • No phase delay
• Improved the servo bandwidth by 40%
26 Jonathan Abir [email protected]