Title: How%20delay%20equations%20arise%20in%20Engineering?%20G
1How delay equations arise in Engineering?Gábor
StépánDepartment of Applied MechanicsBudapest
University of Technology and Economics
2Contents
- Answer Delay equations arise in Engineering
- by the information system (of control), and
by the contact of bodies. - Linear stability subcritical Hopf bifurcations
- Robotic position and force control
- Balancing human and robotic
- Contact problems
- Shimmying wheels (of trucks and motorcycles)
- Machine tool vibrations
3Position control
- 1 DoF models ? x
- Blue trajectoriesQ 0
- Pink trajectories Q Px Dx
4Force control
- Desired contact forceFd kyd
- Sensed force Fs ky
- Control force Q P(Fd Fs) DFs Fs or d
5Stabilization (balancing)
- Control forceQ Px Dx
- Special case of force control with k lt 0
6Modeling digital control
- Special cases of force control- position
control with zero stiffness (k 0)-
stabilization with negative stiffness (k lt 0) - Digital effects- quantization in time sampling
linear - quantization in space round-off
errors at
ADA converters
non-linear
7Balancing inverted pendulum
- Higdon, Cannon (1962) 10-20 papers / year
- n 2 DoF ? ?, x x cyclic coordinate
- linearization at ?
0
8Balancing
- 1) Q 0 - no control
- ? ? 0 is unstable
- 2) Q(t) P?(t) D?(t) (PD control)
- ? 0 is asympt. stable ? D gt 0, P gt mg
- 3) Q(t) P?(t ?) D?(t ?) (with reflex
delay ? )
9Stability chart critical reflex delay
10Stability chart critical reflex delay
11Stability is the art of keeping the balance
12Labyrinth human balancing organ
- Both angle and angular velocity signals are
needed
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14Experimental observations
- Kawazoe (1992)untrained manual control
- Betzke (1994)targetshooting0.3 0.7 Hz
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19Random oscillations of robotic balancing
-
sampling time
and - quantization (round-off)
20Alices Adventures in Wonderland
21Sampling delay of digital control
22Digitally controlled pendulum
23Stability of digital control sampling
24Stability of digital control round-off
- h one digit converted to control force
-
- det(?I
B) 0 ? - ?1e?gt1,
?2e?, ?30
251D cartoon the ?-chaos map
- Drop 2 dimensions, rescale x with h ? a ? e?,
b ? P - A pure mathematical approach ( p gt 0 , p lt q )
- solution with xj y(j) leads to ?-chaos map,
- a ep, b q(ep 1)/p ? a gt 1, (0 lt) a b
lt 1 - small scale xj1a xj , large scale xj1 (a
b) xj
26Micro-chaos map
- large scale
- small scale
- Typical in digitallycontrolled machines,caused
partly by delay
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28Butterfly effect
- Prop. 1 The map has sensitive dependence on
initial conditions - Horseshoe (Smale) invariant Cantor set on
which the map is topologically conjugate to a
Bernoulli shift on 2 symbols.
29Attractive set
- Prop. 2 A is a positivelyinvariantattractive
set
30Characterization of ?-chaos (a5/2, b2)
31 Transient chaos
- Unpredictable transient behavior of machines
- The transient motion disappears suddenly
- Exponential decay cannot be used
- Life expectancy, kick-out number, escape rate,
etc. can be defined - Examples Lorenz repellor (Yorke, 1979), tethered
satellites (Troger, 1998), shimmy, robotics,
digital control, control of chaos
32Examples from digital control
- PID control of machines in the presence of
Coulomb friction - Switch of robots from position control to force
control, transient impacts with an elastic
environment - Stabilization of an unstable equilibrium or an
unstable periodic motion of a machine (e.g.
balancing, control of chaos, )
33Trivial micro-chaos map
34Kick-out number
- Fibonacci series fn fn-1 fn-2 f5 3
- Length of intervals 1/2n 2
-
1 -
1 -
0
35Non-trivial transient micro-chaos
36Non-trivial mean kick-out numbers
37Robotic (dynamic) balancing
- Even if vibration problems are all settled, there
are still serious drawbacks - Balancing should be possible on any inclination,
without knowing the exact vertical direction - Balancing should work in space
- Balancing should incorporate gyroscopic effects
- Study human balancing in more details!elderly
people, sportsmen
delay and threshold