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Introduction to Process Control Chapter One. sensor process control element controller.

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Introduction to Process Control Chapter One
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Page 1: Introduction to Process Control Chapter One. sensor process control element controller.

Introduction to Process Control

Chapter One

Page 2: Introduction to Process Control Chapter One. sensor process control element controller.
Page 3: Introduction to Process Control Chapter One. sensor process control element controller.

sensor

processcontrol element

controller

Page 4: Introduction to Process Control Chapter One. sensor process control element controller.

Control Terminology

Controlled Variables - These are the variables which quantify the performance or quality of the final product, which are also called output variables.

Manipulated Variables - These input variables are adjusted dynamically to keep the controlled variables at their set-points.

Disturbances - These are also called the “load” variables and represent inputs that can cause the controlled variables to deviate from their respective set points.

Page 5: Introduction to Process Control Chapter One. sensor process control element controller.

Servo control - The set-point signal is changed and the manipulated variable is adjusted appropriately to achieve the new operating conditions.

Regulatory control – The set-point is fixed at a constant value. When any disturbance enters the system, the manipulated variable is adjusted to drive the controlled variable back to its fixed set-point.

Control Terminology

Page 6: Introduction to Process Control Chapter One. sensor process control element controller.
Page 7: Introduction to Process Control Chapter One. sensor process control element controller.

Ch

apte

r 1

Page 8: Introduction to Process Control Chapter One. sensor process control element controller.

Why do we need automatic process control?

• Industrial processes are not static but rather very dynamic; they are continuously changing as a result of many types of disturbances.

• It is principally because of this dynamic nature that control systems are needed to continuously and automatically watch over the variables that must be controlled.

Page 9: Introduction to Process Control Chapter One. sensor process control element controller.

Illustrative Example: Blending System

Notation:

• w1, w2 and w are mass flow rates

• x1, x2 and x are mass fractions of component A

Page 10: Introduction to Process Control Chapter One. sensor process control element controller.

Assumptions:

1. w1 is constant

2. x2 = constant = 1 (stream 2 is pure A)

3. Perfect mixing in the tank

Control Objective:

Keep x at a desired value (or “set point”) xsp, by adjusting flow

rate w2, despite variations in x1..

Terminology:

• Controlled variable (or “output variable”): x

• Manipulated variable (or “input variable”): w2

• Disturbance variable (or “load variable”): x1

Page 11: Introduction to Process Control Chapter One. sensor process control element controller.

Design Question: What value of is required to have 2w?SPx x

Overall balance:

Component balance:

1 20 (1)w w w

1 1 2 2 0 (2)w x w x wx

(The overbars denote nominal steady-state design values.)

• At the design conditions, . Substitute Eq. (1), and , then solve Eq. (2) for :

SPx x SPx x2 1x 2w

12 1 (3)

1SP

SP

x xw w

x

Page 12: Introduction to Process Control Chapter One. sensor process control element controller.

Control Question

Suppose that the inlet concentration changes with time. How can we ensure that x remains at or near the set point ?

As a specific example, if and , then

.

SPx

2 2w w1 1x x

SPx x

1x

Page 13: Introduction to Process Control Chapter One. sensor process control element controller.

Possible Control Strategies

Method 1. Measure x and adjust w2.Intuitively, if x is too high, we should reduce w2

and vice versa.

1. Manual control

2. Automatic control with proportional feedback control law.

2 2 (4)c SPw t w K x x t

Page 14: Introduction to Process Control Chapter One. sensor process control element controller.
Page 15: Introduction to Process Control Chapter One. sensor process control element controller.

Method 2. Measure x1 and adjust w2.

Thus, if x1 is greater than , we would decrease w2 so that

One approach: Consider Eq. (3) and replace and with x1(t) and w2(t) to get a control law:

1x

2 2;w w

1x 2w

12 1 (5)

1SP

SP

x x tw t w

x

Because Eq. (3) applies only at steady state, it is not clear how effective the control law in (5) will be for transient conditions.

Page 16: Introduction to Process Control Chapter One. sensor process control element controller.
Page 17: Introduction to Process Control Chapter One. sensor process control element controller.

Method 3. Measure x1 and x, adjust w2.

• This approach is a combination of Methods 1 and 2.

Method 4. Use a larger tank.

• If a larger tank is used, fluctuations in x1 will tend to be damped

out due to the larger capacitance of the tank contents.

• However, a larger tank means an increased capital cost.

Page 18: Introduction to Process Control Chapter One. sensor process control element controller.

Classification of Control Strategies

Method Measured Variable

Manipulated Variable

Category

1 x w2FBa

2 x1 w2 FF

3 x1 and x w2 FF/FB

4 - - Design change

Page 19: Introduction to Process Control Chapter One. sensor process control element controller.

Feedback Control

• Distinguishing feature: – measure the controlled variable.

– It is important to make a distinction between negative feedback and positive feedback.

• Advantages:– Corrective action is taken regardless of the source of the

disturbance.– Reduces sensitivity of the controlled variable to disturbances

and changes in the process (shown later).• Disadvantages:

– No corrective action occurs until after the disturbance has upset the process, that is, until after x differs from xsp.

– Very oscillatory responses, or even instability

Page 20: Introduction to Process Control Chapter One. sensor process control element controller.

Feed Forward Control

• Distinguishing Feature: Measure a disturbance.

• Advantage: Correct for disturbance before it upsets the process.

• Disadvantage:– Must be able to measure the disturbance– No corrective action for unmeasured

disturbances.

Page 21: Introduction to Process Control Chapter One. sensor process control element controller.
Page 22: Introduction to Process Control Chapter One. sensor process control element controller.
Page 23: Introduction to Process Control Chapter One. sensor process control element controller.
Page 24: Introduction to Process Control Chapter One. sensor process control element controller.

Justification of Process 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

Page 25: Introduction to Process Control Chapter One. sensor process control element controller.

Economic Incentives - Advanced Control 

Page 26: Introduction to Process Control Chapter One. sensor process control element controller.
Page 27: Introduction to Process Control Chapter One. sensor process control element controller.

1. Measurement and Actuation

2. Safety, Environment and Equipment Protection

3a. Regulatory Control

4. Real-Time Optimization

5. Planning and Scheduling

Process

3b. Multivariable and Constraint Control

(days-months)

(< 1 second)

(< 1 second)

(seconds-minutes)

(minutes-hours)

(hours-days)

Figure 1.7 Hierarchy of process control activities.

Page 28: Introduction to Process Control Chapter One. sensor process control element controller.

Figure 1.9 Major steps in control system development


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