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SE418: Industrial Process Control Lecture 1 Introduction to Process Control

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Page 1: Introduction to Process Control - Faculty Personal Homepage

SE418: Industrial Process Control

Lecture 1Introduction to Process Control

Page 2: Introduction to Process Control - Faculty Personal Homepage

InstructorDr. Samir Hasan Al-Amer

سمير حسن العامر . د

Office HoursSat 10-11, Sun 11-12:30 & Mon 10-12:00 by appointment

Office 22-141Tel 860-3749 Mobile: 0503825573Email:

[email protected] the WebCT email

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Outlines

What is a process?What is process control?Why process control is needed?Outlines of the CourseExample of processes

ContinuousBatch

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What is a process?

Process: “ The Conversion of a feed material into a product using chemical and physical operations “Process is often used to mean

The processing operationThe processing equipment

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Course Objectives

Obtain theoretical and empirical mathematical models of different processesTo analyze the dynamic behavior of processes and develop good understanding of their behavior in different situationsTo design different types of controllers

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Key Factor for Better Process Control

High quality Specifications

Stronger Competitions

Economical constraints

Safety Regulations

Environmental Regulations

Better

Control

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Objectives of Process Control

To maintain the process at desired operating conditions safely and efficiently while satisfying environmental and product quality requirements.

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Why Process Control is needed?Specific Objectives of Control

• Increased product throughput• Increased yield of higher valued products• Decreased energy consumption• Decreased pollution• Decreased off-spec product• Increased Safety• Extended life of equipment• Improved Operability• Decreased production labor

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Control Engineering Terminology

Controlled Variables (CV)Manipulated Variables (MV)Disturbance Variables (DV)Set-Point (SP)

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Controlled Variables (CV)controlled variables - these are the variables which quantify the performance or quality of the final productalso called output variables.

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Manipulated Variables (MV)manipulated variables - these input variables are adjusted dynamically to keep the controlled variables at their set-points.

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Disturbance Variables (DV)disturbance variables - represent input variables that can cause the controlled variables to deviate from their respective set points also called "load" variablesDV are not adjustedDV may or may not be measured

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Set Point (SP)Set Point signal = desired level of a controlled variableTo implement a change in the operating conditions, the set-point signal is changed and the manipulated variable is adjusted appropriately to achieve the new operating conditions.

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Common types of processes

Continuous ProcessThe input and output flow continuously throughout the duration of the process

Batch ProcessThe feed is charged into a vessel at the beginning of the process then the vessel’s content is removed some time later

Semi-Batch Process:It is neither batch nor continuous

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Examples of Continuous Process

Heat ExchangerChemical ReactorCracking FurnaceDistillation Column

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Continuous ProcessTubular Heat exchanger

Process fluid

Cooling medium

Process fluid is cooled by cooling waterCV: exit temperature of process fluidMV: flow rate of cooling waterDV: inlet temperature, inlet flow rate,…

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Continuous ProcessChemical Reactor

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Mixing ProcessShower Example

Hot water Cold water

Hot and cold water are mixedTime delay is introducedDelay is the time needed for water to travel between the mixer and the person

Valve

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Continuous ProcessMixing Process

Assumptionsw1, x2=1 are constants Perfect Mixing

Mixture of A and B

Flow rate w1

Comp x1

Pure A

Flow rate w2

Comp x2=1

Flow rate w

Comp x

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Examples of non-continuous Processes

Wood chip digesterPlasma etcherArtificial Kidney

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Artificial KidneyDialyzing fluid

Blood

from

artery

Purified Blood

to a vein

Dialyzing fluid+ waste

Remove water and waste metabolites from blood

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Control Strategies

FeedbackFeedforwardFeedforward + feedbackothers

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Control StrategiesFeedback

The control variable (CV) is measuredMeasured value is compared to set pointThe control action is computed based on the errorReduce the effect of disturbance irrespective of their sourcesReduce the effects of changes in process on CVNo corrective action is done before CV is changed

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Control StrategiesFeedforward

The disturbance variable (DV) is measuredThe correction action to remove the effect of the DV is calculated and implemented. Needs a good model of the systemLimited. Not all disturbance variables can be measuredCorrection action is initiated before changes in CV are observed

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Feedforward Control:Distinguishing feature: measure a disturbance variable

• Advantage:

Correct for disturbance before it upsets the process.

• Disadvantage:

Must be able to measure the disturbance.

No corrective action for unmeasured disturbances.

Needs accurate model of the process

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Other Control StrategiesFeedforward+feedback

Feedforward+feedbackFeedforward and feedback can be implemented at the same timePractical approachFeedforward remove the effect of measured disturbance and feedback remove the effect of un-measured disturbances

Advanced control strategies

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Economic Incentives for Advanced Process Control

Safe limit

Average

Average

Advance control can be used to reduce variability. This allows raising desired level closer to the safe limit

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Summary