• Non ci sono risultati.

Dynamic modeling of physical systems

N/A
N/A
Protected

Academic year: 2021

Condividi "Dynamic modeling of physical systems"

Copied!
8
0
0

Testo completo

(1)

Dynamic modeling of physical systems

• The main energetic domains encountered in modeling physical systems are:

– mechanic (translational and rotational) – electromagnetic

– hydraulic – thermic (≃)

• These domains are quite different, but they have a very similar dynamic structure. In fact, each energetic domains is mainly characterized by:

– 2 “dynamic” elements D1 and D2 which store the energy (i.e.

capacitors, inductors, masses, springs, etc.);

– 1 “static” element R which dissipates (or generates) the ener- gy(i.e. resistors, frictions, etc.);

– 2 “energy” variables q1(t) and q2(t) which define how much energy is stored within the dynamic elements;

– 2 “power” variables v1(t) and v2(t)which describe how the energy moves within the system;

• The product p(t) = v1(t)v2(t) has the physical meaning of “power” flowing through the physical section“” characterized by the two power variables v1(t) and v2(t).

• The two dynamic elements D1 and D2 are “dual”: their differential equa- tions have the same structure and only differ in a reversal of the subscripts

“1” e “2”.

(2)

• The dynamic element D1 is characterized by:

1) the internal variable q1(t);

2) the input variable v2(t);

3) the output variable v1(t);

4) the constitutive relation Φ1(v1) which links the internal variable q1 to the output variable v1:

q1 = Φ1(v1) ↔ v1 = Φ−11 (q1)

?

1 s

?

Φ−11 (q1)

?

v1(t) v2(t)

q1(t)

5) a differential equation which links the internal variable q1 to the input variable v2:

dq1

dt = v2 ↔ dq1 = v2dt

6) the stored energy E1(q1) is a function only of the internal energy variable q1:

E1 = Z t

0

p(t) dt = Z t

0

v1v2dt = Z q1

0

Φ−11 (q1) dq1 = E1(q1)

• The input and output power flows of the dynamic element D1 can be clearly shown using one of the two following graphical representations:

v2a

v1

- 

?

1 s

?

Φ−11 (q1)

?

 -

v2b

v1

v2

q1

v1

v2a

 -

6

1 s

6

Φ−11 (q1)

6

- 

v1

v2b

v2

q1

In this case the entering power is pe(t) = v2av1 and the exiting power is pu(t) = v2bv1.

(3)

• The dynamic element D2 is characterized by:

1) the internal variable q2(t);

2) the input variable v1(t);

3) the output variable v2(t);

4) the constitutive relation Φ2(v2) which links the internal variable q2 to the output variable v2:

q2 = Φ2(v2) ↔ v2 = Φ−12 (q2)

?

1 s

?

Φ−12 (q2)

?

v2(t) v1(t)

q2(t)

5) a differential equation which links the internal variable q2 to the input variable v1:

dq2

dt = v1 ↔ dq2 = v1dt

6) the stored energy E2(q2) is a function only of the internal energy variable q1:

E2 = Z t

0

p(t) dt = Z t

0

v1v2dt = Z q2

0

Φ−12 (q2) dq2 = E2(q2)

• The input and output power flows of the dynamic element D2 can be clearly shown using one of the two following graphical representations:

v1a

v2

- 

?

1 s

?

Φ−12 (q2)

?

 -

v1b

v2

v1

q2

v2

v1a

 -

6

1 s

6

Φ−12 (q2)

6

- 

v2

v1b

v1

q2

In this case the entering power is pe(t) = v1av2 and the exiting power is pu(t) = v1bv2.

(4)

• The static element R is characterized only by a constitutive relation ΦR

that links the two power variables v1 and v2:

v1 = ΦR(v2) ↔ v2 = ΦG(v1) The functions ΦR(·) and ΦG(·) are one the inverse of the other:

ΦG(v1) = Φ−1R (v1) ↔ ΦR(v2) = Φ−1G (v2) This element can be oriented in both ways:

?

ΦR(v2)

?

v2(t)

v1(t)

ΦG(v1)

6

6

v2(t)

v1(t)

• The input and output power flows of the static element R can be clearly shown using one of the two following graphical representations:

v2a

v1

- 

ΦR(v2)

?

?

 -

v2b

v1

v2

v2

v1a

 -

ΦG(v1)

6

6

- 

v2

v1b

v1

• The power p(t) dissipated (or generated) by the static element R is equal to the product of the two power variables:

p(t) = v1(t)v2(t) = ΦR(v2) v2 = v1Φ−1R (v1)

(5)

• Electromagnetic domain:

Name Constitutive Rel. Linear case Differentioal Eq.

D1 C Capacitor

q1 Q Charge Q = ΦC(V ) Q = C V d Q dt = I v1 V Voltage

D2 L Inductor

q2 φ Flux φ = ΦL(I) φ = L I d φ dt = V v2 I Current

R R Resistance V = ΦR(I) V = R I

Linear dynamic elements

• Inductor (φ = L I):

L

V1 V2

I I

d

dt [L I] = V1 − V2

V1 -  1 L s

?

?

I

 -

V2

• Capacitor (Q = C V ):

C

I1 I2

V

I1 - 

1 C s

?

?

 -

I2

(6)

• Mechanic Translational domain:

Name Constitutive Rel. Linear case Differentioal Eq.

D1 M Mass

q1 P Momentum P = ΦM( ˙x) P = M ˙x d P

dt = F v1 ˙x Velocity

D2 E String

q2 x Displacement x = ΦE(F ) x = E F d x dt = ˙x v2 F Force

R b Friction F = Φb( ˙x) F = b ˙x

• Mechanic Rotational domain:

Name Constitutive Rel. Linear case Differentioal Eq.

D1 J Inertia

q1 P Ang. Momentum P = ΦJ(ω) P = J ω d P dt = τ v1 ω Ang. Velocity

D2 E Rot. Spring

q2 θ Ang. Displacement θ = ΦE(τ ) θ = E τ d θ

dt = ω v2 τ Torque

R b Rot. Friction τ = Φb(ω) τ = b ω

(7)

• Hydraulic domain:

Name Constitutive Rel. Linear case Differentioal Eq.

D1 CI Hyd. Capacitor

q1 V Volume V = ΦC(P ) V = CI P d V

dt = Q v1 P Pressure

D2 LI Hyd. Inductor

q2 φI Hyd. Flux φI = ΦL(Q) φI = LI Q d φI

dt = P v2 Q Volume flow rate

R R Hyd. Resistor P = ΦR(Q) P = RI Q

• Hydraulic Inductor:

LI

P1 P2

Q Q

d

dt [LIQ] = P1 − P2

P1 -  1 LIs

?

?

Q

 -

P2

• Hydraulic Capacitor:

CI

Q1 Q2

P

d

dt [CIP] = Q1 − Q2

Q1 -  1 CIs

?

?

P

 -

Q2

• Hydraulic Resistance:

RI P1 P2

Q Q

P1 -  1 RI

?

P2

(8)

Examples

• Mass-dumper system.

Differential equation:

d(m ˙x)

d t = F − b ˙x Using the Laplace transform:

X˙ (s) = 1

m s + b F(s)

one obtains the transfer function:

G(s) = 1 m s + b

x

m F b

0

 -

b

6

6 - 

- 

1 m s

?

?

˙x

 -

F

• Parallel spring-dumper system:

R R

˙x1

˙x2

b

K x2

x1

R

˙x1

 -

b+ Ks

6

6 - 

R

˙x2

• Series spring-dumper system:

R R

˙x1

˙x3

˙x2

b K

x2

x3

x1

R

˙x2

 

1 b

?

?

- -

 -

K s

6

6 - 

R

˙x1

Riferimenti

Documenti correlati

I risultati qui ottenuti, se confrontati con i dati della biologia della pesca demersale, possono fornire importanti dati al fine di pianificare misure di gestione per le

In this context, the aim of this research project was to evaluate the capacity of two probiotic strains of Lactobacillus (Lactobacillus plantarum 299v® (DMS

Modeling a physical system is always a compromise between the simplicity of the model and the accuracy of the

identification, data pre-processing and the identified models are described; • Chapter 4: we validate the models: employed validation metrics, com- parison between different model

Rarely these disease are managed in the emergency setting, because are often diagnosed by urologists and the overall survival is about 34 months for the UTUC itself; the

• Chapter 2 reports the kinematic and dynamic model of the Equivalent Rigid-Link System (ERLS) formulation for flexible-link mechanism, based on a modal approach (i.e. the

The model of the flexible mechanism has been validated through the experimental tests in order to apply the linear quadratic (LQ) optimal controller, the constrained model

These features make STSK theoretically preferable over other throughput-oriented space-time coding techniques, namely, spatial multiplexing and spatial modulation, which were