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7/29/2019 Process Controllers
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Simulation of Process Control
Loop using DiscontinuousControllers
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Simulink Model of a first-order process loopunder an on-off controller with hysteresis
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The Relay block allows its output to switch between two specified values.
When the relay is on, it remains on until the input drops below the value of the
Switch off point parameter. When the relay is off, it remains off until the input
exceeds the value of the Switch on point parameter. The block accepts one input
and generates one output.
The Switch on point value must be greater than or equal to the Switch off point.
Specifying a Switch on point value greater than the Switch off point models
hysteresis, whereas specifying equal values models a switch with a threshold at
that value.
When the initial input falls between the Switch off point and Switch on point
values, the initial output is the value when the relay is off.
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Simulink Model of a first-order process loopunder an on-off controller with dead zone
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The Dead Zone block generates zero output within a specified region, called its
dead zone. You specify the lower limit (LL) and upper limit (UL) of the dead
zone as the Start of dead zone and End of dead zone parameters, respectively.
The block output depends on the input (U) and the values for the lower and
upper limits:
Input Output
U >= LL and U UL U UL
U < LL U LL
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Simulation of Process Control Loopusing Continuous Controllers
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Regulatory Control with Step Disturbance for P Controller
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Regulatory Control with Sinusoidal Disturbance for P Controller
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Servo Control with Step set point for P Controller
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Servo Control with Sinusoidal set point for P Controller
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Regulatory Control with Step Disturbance for PI Controller
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Regulatory Control with Sinusoidal Disturbance for PI Controller
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Servo Control with Step set point for PI Controller
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Servo Control with Sinusoidal set point for PI Controller
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Regulatory Control with Step Disturbance for PID Controller
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Regulatory Control with Sinusoidal Disturbance for PID Controller
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Servo Control with Step set point for PID Controller
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Servo Control with Sinusoidal set point for PID Controller
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Comparisons of multiple P controllers
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Comparisons of P, PI, PID servo controllers (for step point)
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ZieglerNichols tuning method
Control Type Kp Ki Kd
P Ku / 2 - -
PI Ku / 2.2 1.2Kp / Pu -
classic PID 0.60Ku 2Kp / Pu KpPu / 8
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Z-N tuned PID control
For Process Transfer Function= 6/(48*s^3 + 44*s^2 + 12*s + 1 )
MATLAB code for Z-N tuning method
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MATLAB code for Z N tuning method
%the below code takes the function input from the user and computes the controller
parameters using ZIEGLER-NICHOLAS method
anum=input('Enter the numerator of function: '); % taking the numerator of process
function as user input
aden=input('Enter the denominator of function: '); % taking the denominator of
process function as user input
sys=tf(anum,aden); % making a transer function from the numerator and denominator
S=allmargin(sys); % extracting the crossover frequency etc of the transfer function
if S.GainMargin ~=Inf % proceeding forward in case the system is closed loop stable
Ku=S.GainMargin;
Pu=2*pi/S.GMFrequency;
in=input('Enter the controller type 1.P 2.PI 3.PID'); % asking the user the type ofcontroller for which he wants to compute the values
if (in==1) % giving output for P only controller
Kp=0.5*Ku
con=tf([Kp], [1])
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([ p], [ ])
elseif (in==2) % giving output for PI controller
Kp=0.45*Ku
Ti=Pu/1.2
Ki=Kp/Ti
con=tf([(Kp*Ti) Kp],[Ti 0])
elseif (in==3) % giving output for PID controller
Kp=0.6*Ku
Ti=Pu/2
Ki=Kp/Ti
Td=0.125*Pu
Kd=Td*Kp
con=tf([(Kp*Ti*Td) (Kp*Ti) Kp],[Ti 0])
else
disp('Incorrect option entered');
end