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Benefits of Knowledge of Road Friction
1
Active Safety
Systems (ESC, ABS, TCS, ACC)
Pre-Warning for
Slippery Road
to Driver (Vehicle-To-Vehicle
Information Sharing)
Intelligent
Transportation
System (Real-time Friction
Adaptive Speed Limit
Control)
Road Friction
Estimation
Lateral Excitation Based Algorithms
2
Vehicle Model
Steering
Model
,y za M
Measurement
ˆ,ˆy za M
Model output
Compare Sensor
signals (Estimation Algorithm)
Slip angle
Friction Coefficient
Update
Excitation
Tire
Model
Parameter and State Estimation for Nonlinear
Systems
3
0
1,0 11
2,0 22
( , , ) ( , , ),
.
x f x u f x u
h hhy
h hh
System
Estimate state x and parameter θ
Objective
100
2
ˆˆ ˆ( , , )ˆ
ˆ 0
x Lf x uy y
L
How can we determine gain L1 and L2?
Robust stability to uncertainties ˆx x and as t
Stability Robustness
Stability at An Operation State
4
0 0
( , , ) 0
ˆ ˆ( , , ) 2 2 0
T
T T
Lyapunov Stability
V e z u e Pe
V e z u e Pe e P F F L H H
for all uncertainties(ΔF and ΔH)
in error space
with respect to a given operation state.
Error Space Stable
Unstable
0 0ˆ ˆ ˆ ˆ, ( , ) ( , ) ( , )z F z u L z u H z u H z u
100
2
ˆˆ ˆ( , , )ˆ
ˆ 0
x Lf x uy y
L
Operation
state
Observer Requirement
5
If inside of the donut is all blue,
then the observer is robustly stable at the given operation state.
Error Space
d: convergence parameter
ε1: steady state error
ε2: stable error bound
Inside of donut: all error will converge to the inner circle
Observer requirement
(design parameters)
Error Space Error Space
Stability in an Operation State Space
6
Operation State Space
Error Space
Satisfied Satisfied Not Satisfied
Observer Gain for Robust Stability
7
Find L that maximizes the
blue area under the given
requirements.
1 211 2
ˆ ˆˆ
1 2
3 4
ˆ, ,
1 23 4
ˆ ˆˆ ˆ, ,
, ,
, ,
x x x x
x x x x
h hhfl l
x xx x
h
k
hl
k
k kl
1 4
* * *
1 1 4~
arg ma~ ,, xk k
Bluep k k Area
1 2
3
1
4
0, .
0 1
l
l l
p lP L
① System
② Observer
④ Gain
Optimization
Robust Observer Design Synthesis
8
1 1
0
2 2
, .h h
x f f yh h
0 0ˆ ˆ ˆ ˆ( , ) ( , ) ( , ) ( , )z F z u L z u H z u H z u
Derive Gain Matrix
Set d, ε1 and ε2
considering observer
requirements.
(Donut shape)
Set Plant
Uncertainties
Optimization to determine
k1, k2, k3, and k4.
, .F H
③
Friction/Slip Angle Estimation
9
2
1 2
3 4
1 1ˆ ˆ ˆ ˆˆ ˆ ,
ˆ ˆˆ ˆ ,
f yf yr y yf yr a a
x z x x z x
y yf yr a a
a abF F r l ma F F l
mV I V mV I V
l ma F F l
1 211 2
ˆ ˆˆ
1 2
3 4
ˆ, ,
1 23 4
ˆ ˆˆ ˆ, ,
, ,
, ,
x x x x
x x x x
h hhfl l
x xx x
h
k
hl
k
k kl
9 6
1 2
8 4
3 4
2.5 10 , 2.8 10 ,
1.8 10 , 1.9 10 .
k k
k k
Estimation Result (Test 8)
10