Class 21 22 - summary

Post on 24-Jan-2017

514 views 3 download

transcript

ICE401: PROCESS INSTRUMENTATION

AND CONTROL

Class 21, 22

Summary

Dr. S. Meenatchisundaram

Email: meenasundar@gmail.com

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

Control System Components:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

Control Loops:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

Advanced Control Loops:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

Advanced Control Loops:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

Mathematical Modeling:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

We can define hydraulic resistance (R) to flow as follows:

Hydraulic Capacitance (A) can be given as:

Liquid-Level System:

0

Potential hR

Flow q≡ =

( )

( )

V t QuantityA

h t Potential= =

( )

( )

( ) 1i

H s R

Q s RAs=

+ ( )0 ( ) 1

( ) 1i

Q s

Q s RAs=

+0

( )( )

H sQ s

R=

Mathematical Modeling:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

Liquid-Level Systems with Interaction:

Liquid-Level Systems without Interaction:

( )2

2

1 1 2 2 1 1 2 2 2 1

( ) 1

( ) 1

Q s

Q s R C R C s R C R C R C s=

+ + + +

( )2 2

2

1 1 2 2 1 1 2 2 2 1

( )

( ) 1

H s R

Q s R C R C s R C R C R C s=

+ + + +

1

1

( ) 1

( ) 1

Q s

Q s sτ=

+

2 2

1 2

( ) 1

( ) 1 1

H s R

Q s s sτ τ=

+ +

Mathematical Modeling:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

Thermal System:

CSTR:

( ) =

H(s) 1 Cs

s R

R

θ∆ ∆ +

( ) ( )A A Ai i A

d dn C V C F C F rV

dt dt= = − −

( ) ( )/

0

E RTiAAi A A

FdCC C k e C

dt V

−= − −

Mathematical Modeling:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

Pneumatic System:

Hydraulic System:

0 ( ) 1

( ) ( 1)i

P s

P s RCs

∆=

∆ +

( )

( ) 1 1i

A AX s K K

P s RCs sτ= =

+ +

Dead Time, P&I Diagram:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

Process dead time (td) is equal to the distance (D) divided by

the velocity (υ) through the discharge pipe, or td = D/υ.

Direct & Reverse Action:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

A controller operates with direct action when an increasing

value of the controlled variable causes an increasing value of

the controller output.

Reverse action is the opposite case, where an increase in a

controlled variable causes a decrease in controller output.

Classification of Controller Modes:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

Controller Action:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

Two-Position Mode:

Neutral Zone:

00%

0100%

p

p

ep

e

<=

>

Controller Action:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

Multi-Position Mode:

Floating Control Mode – Single Speed:

Multi Speed:

1

1 1

1

100%

50%

0%

p

p

p

e e

p e e e

e e

>

= − < < < −

F p p

dpK e e

dt= ± > ∆

Fi p pi

dpK e e

dt= ± > ∆

Controller Action:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

Proportional Mode:

0p pp K e p= +

100

p

PBK

=

Controller Action:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

Integral Mode:

0

( ) (0)

t

I pp t K e dt p= +∫

1=

I

I

TK

Controller Action:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

Derivative Mode:

Proportional-Integral Control Mode:

Proportional-Derivate Control Mode:

Proportional-Integral-Derivate Control Mode:

( )p

D

dep t K

dt=

0

( ) (0)

t

P P P I p Ip t K e K K e dt p= + +∫

0( )p

P P P D

dep t K e K K p

dt= + +

0

( ) (0)

t

p

P P P I p P D I

dep t K e K K e dt K K p

dt= + + +∫

Controller Action:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

Proportional-Integral

Controller Action:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

Proportional-Derivative

Effects of KP, KI and KD:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

KP KI

Effects of KP, KI and KD:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

KD

Controller Action:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015

Try:

A PI controller is reverse acting, PB = 20, 12 repeats per

minute. Find (a) the proportional gain, (b) the integral gain,

and (c) the time that the controller output will reach 0% after

a constant error of -1.5% starts. The controller output when

the error occurred was 72%.

Solution: 1005%

p

PBK

= =

( )

12%

% minIK =

Controller Action:

Process Instrumentation and Control (ICE 401)

Dr. S.Meenatchisundaram, MIT, Manipal, Aug – Nov 2015