Post on 22-Oct-2014
description
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A Discrete Time Model of Boiler Drum and Heat Exchanger QAD Model BDT 921
Carlos Iván Mesa M.
Cód.: 45121608
Control Digital
Ing. Automatización
Unisalle 22-Febrero-2012
Faculty of electrical and electronic engineeringUniversiti Tun Hussein Onn Malaysia (uthm)October 20-22, 2009, Bandung, Indonesia, IEEE
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ABSTRACTThe document discusses the
procedure followed to control a system discreetly heat exchanger and a drum-boiler control laboratory of the university which were are controlled analogously.
PID is chosen as a control discreetly.The plant behavior is analyzed
using the simulation tool Matlab.
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INTRODUCTIONBoiler drum and heat exchanger are
commonly used in industries in almost all process and power plants to generate steam for the main purpose of electricity generation via steam turbines.
Figure 1 – The boiler drum and heat exchanger QAD Model BDT 921
Figure 2 - The front panel control of boiler drum and heat exchanger QAD
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BOILER DRUM
Figure 3 - The real system of boiler drum
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BOILER DRUM MODEL(Schematic)
Figure 4 - The P&ID of boiler drum and heat exchanger
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BLOCK DIAGRAM
Figure 5 – Block Diagram for boiler drum control system
Table 1 – Parameter gain values for boiler drum model
Parameter gain Value
Boiler tank transfer function, GP 1/500s
Current to pressure converter, GI/P 0.0527
Level transmitter, Gt 0.16
Level set to voltage converter, GHV 0.04
Voltage to current converter, GVI 4
level control valve, GV 1144
Gain of PID controller, GC variable
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TRANSFER FUNCTION
Transfer function for single loop
Proportional controller (P)
Proportional plus integral controller (PI) 𝑃𝐼 (𝑠)=𝐺𝑐 ¿
𝐺𝑐=¿ 100
𝑃𝐵¿
𝐶 (𝑠)𝑅(𝑠)
=0,019𝐺𝑐
𝑠+0,019𝐺𝑐
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FUNCION DE TRANSFERENCIA
Proportional plus integral controller (PI)
Replace Ti = 30:
Discrete time Transfer function:
𝐶 (𝑠) 𝑅(𝑠)
=0,019𝐺𝑐 𝑠+
0,019𝐺𝑐
𝑇 𝑖
𝑠2+0,019𝐺𝑐 𝑠+0,019𝐺𝑐
𝑇 𝑖
𝐶 (𝑧)𝑅(𝑧)
= 0,3259 𝑧−0,305𝑧 2−1,663 𝑧+0,6839
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HEAT EXCHANGER MODEL
Figure 6 - The real system of heat exchanger
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THE P&ID OF HEAT EXCHANGER
Figure 7 – The P&ID of heat exchanger
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BLOCK DIAGRAM
Figure 8 – Block Diagram for heat exchanger control System
Table 2 - Parameter gain values for heat exchanger model
Parameter gain Value Gain of temperature to voltage values
converter, GHV x Gain of voltage to current values converter, GVI
0.000053
Gain of PID controller, GC variable Gain of temperature to voltage values
converter, GHV x Gain of voltage to
9022.28 2.55s
Gain of temperature transmitter, GT 0.076
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Transfer function for single loop
Proportional controller (P)
Proportional plus integral controller (PI)
𝐺𝑐=¿
100𝑃𝐵 (1+ 1
𝑇1 𝑠+𝑇 𝑑𝑠)¿
𝐺𝑐=¿
100𝑃𝐵 (1+ 1
𝑇1 𝑠 )¿
TRANSFER FUNCTION
𝐶 (𝑠)𝑅(𝑠)
=𝐺𝑐
𝐺𝑐+53,13 𝑠+20,83
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Proportional plus integral controller (PI)
Replace Ti = 30:
Discrete time Transfer function:
𝐶 (𝑠) 𝑅(𝑠)
=0,019𝐺𝑐 𝑠+
0,019𝐺𝑐
𝑇 𝑖
𝑠2+0,019𝐺𝑐 𝑠+0,019𝐺𝑐
𝑇 𝑖
TRANSFER FUNCTION
𝐶 (𝑠) 𝑅(𝑠)
=0,5453 𝑧2−1,045 𝑧+0,5011
𝑧 2−1,955 𝑧+0,9555
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BOILER DRUM RESULT
Table 3 - Comparison data obtained from experiment and with simulated
Signal Types
Time (s)
Rise TimeTr
Peak TimeTp
Settling Time
Ts
Experiment 10s 20s 65s
Simulated 8s 10s 60s
Difference 2s 10s 5s
Figure 9 – Comparison simulation using z-domain transfer function with 2s sampling time and measured response of experiment to step change in boiler drum for PB = 10 and Ti = 30s
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BOILER DRUM RESULT
Table 4 - Comparison data obtained from experiment and with simulated
Signal Types
Time (s)
Rise TimeTr
Peak TimeTp
Settling Time
Ts
Experiment 65s 60s 65s
Simulated 60s 65s 70s
Difference 5s 5s 5s
Figure 10 – Comparison simulation using z-domain transfer function with 0,5s sampling time and measured response of experiment to step change in boiler drum for PB = 20 , Ti = 24s, and Td = 6s
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SIMULATION ON MATLABMATLAB CODEclear all
close all
clc
gvi=0.000053
ts=2;
gt=0.076
num= [0.5453 -1.045 0.5011]
den=[1 -1.955 0.9555]
gc=tf(num,den,ts)
num2=[9022.28]
den2=[2.55 1]
gp=tf(num2,den2)
gpz=c2d(gp,ts)
w=series(gc,gpz)
f=feedback(w,1)
final=series(f,gvi)
%
step(gpz)
figure
step(gc)
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TRANSFER FUNCTION
Para la función de transferencia
𝐶 (𝑠) 𝑅(𝑠)
=0,5453 𝑧2−1,045 𝑧+0,5011
𝑧 2−1,955 𝑧+0,9555
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CONCLUSIONMathematical model for a process control plant
is important because it provides key information as to the nature and characteristic of the system which is vital for the investigation and prediction of the system operation
The set of equations that make up that model is an approximation of the true process.
The model of boiler drum and heat exchanger process control training system QAD Model BDT921 from the transfer function result has second order.