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PROCESS CONTROL

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Title: PROCESS CONTROL


1
PROCESS CONTROL AUTOMATION
  • BY
  • SOBUKOLA, O.P. (PhD)/KAJIHAUSA, O.E. (MRS)
  • Department of Food Science Technology,
  • University of Agriculture, PMB 2240, Abeokuta,
    Nigeria.
  • sobukolaop_at_unaab.edu.ng

2
Grading
  • Continuous Assessment Test CAT - 20
  • Examination - 70
  • Attendance - 10
  • Total - 100

3
Course Outline
  • Lecture 1- Introduction
  • Lecture 2- Control Systems
  • Lecture 3- Measuring and Detecting Elements
  • Lecture 4- Control Actions
  • Lecture 5- Frequency response Analyses
  • Lecture 6- Computer-based Systems

4
LECTURE ONE
  • INTRODUCTION
  • Automatic control has played a vital role in the
    advance of engineering and science. In addition
    to its extreme importance in space-vehicle
    systems, robotic systems and the like, automatic
    control has become an important and integral part
    of modern manufacturing and industrial processes.

5
  • - A process is the transformation of a set of
    inputs, which may be material, actions, methods
    and operations into desired outputs in the form
    of a product.
  • - Control - means measurement of the performance
    of a process and the feedback required and
    corrective actions where necessary.
  • - Automation Automation means reductions in the
    use of direct labour during food processing.

6
  • Advantages of Automation include
  • Consistency and accuracy in the positioning of
    moving parts of an equipment.
  • A more consistent product.
  • The more economic use of existing plant by saving
    of fuel/and or electrical energy.
  • The release of skilled personnel for other
    productive work .
  • Reduction of physical effort with consequent
    reduction of fatigue and boredom
  • Improved working conditions.

7
  • Limitations of automation
  • Initial cost is high
  • power fluctuations,
  • Lack of skilled personnel etc.
  • Basic steps in process control are
  • Measurement of the process variable
  • Evaluation and comparison with desired level and
  • Control of the required level of the parameter
    involved

8
LECTURE TWO
  • Definition of some terms in process control
  • Controller A device that measures a variable
    condition (Temperature, pressure, humidity,
    moisture content) like thermostats, humidistat or
    pressure controllers.
  • Control system consist of controller,
    controlled device and source of energy or input.
  • Controlled device it reacts to the signal
    received from a controller and varied the flow of
    the controlled agents. Valve, damper, electric
    relay or a motor driving a pump, fan etc.
  • Control agents the medium being manipulated by
    the action of controlled device e.g. air or gas.

9
  • Controlled variables are system parameters
    which are under control e.g. Temperature,
    pressure, humidity etc.
  • Manipulated variable is the quantity or
    condition that is varied by the controller so as
    to affect the value of the controlled variable.
  • Plant This may be a piece of equipment or a set
    of machine parts functioning together, the
    purpose of which is to perform a particular
    operation.
  • Disturbances A disturbance is a signal that
    tends to adversely affect the value of the output
    of a system.

10
  • CONTROL SYSTEMS
  • Self controlled systems
  • Pneumatic system
  • Hydraulic system
  • Electrical system
  • Electronic System

11
LECTURE THREE
  • MEASURING AND DETECTING ELEMENTS (SENSORS)
  • They are the main interfere between the control
    system and process. In food processing, they are
    required for incoming material selection
    material waste control process quality control
    packaging inspection equipment
    maintenance/failure prediction, environmental
    control.

12
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13
  • Block diagram
  • A control system consist of a number of
    components that perform certain factors which are
    represented by block diagram in control
    engineering.
  • It is a pictorial representation of functions
    performed by each component and of the flow of
    signals.
  • It depicts the interrelationships that exist
    among the various components.

14
  • Open loop control system Those systems in which
    the output has no effect on the control action.
    In other words, in an open loop control system
    the output is neither measured nor fed back for
    comparison with the input.
  • Feedback/Closed loop system- The term closed-loop
    control always implies the use of feedback
    control action in order to reduce system error.

15
LECTURE FOUR
  • CONTROL ACTIONS
  • The relationship between the deviation and the
    signal sent from the controller to the correcting
    unit determines the control action.
  • Most control actions derive their names on the
    basis of mathematical or functional relationship
    between the output and the error.
  • An automatic controller compares the actual value
    of the plant output with the reference input
    (desired value), determines the deviation, and
    produces a control signal that will reduce the
    deviation to zero or to a small value.
  • The manner in which the automatic controller
    produces the control signal is called the control
    action.

16
  • Industrial controllers are usually classified
    according to their control actions
  • Two step Action or on-off controllers
  • Proportional Action
  • Integral Control Action
  • Proportional plus integral control Action
  • Proportional plus derivative control Action
  • Proportional plus Integral plus derivative
    control actions

17
  • Frequency response of controller
  • A controller may be regarded as an amplifier.
    For sinusoidal input signals, a controller with
    proportional action only gives an output
    proportional to the input, but in phase
    opposition to it, whatever the frequency may be.

18
LECTURE FIVE
  • FREQUENCY RESPONSE ANALYSIS
  • Frequency response Is the relationship between
    output signal and input signal when the
    sinusoidal input is a component or system is
    varied over a wide range of frequencies.
  • When the plant and the controller are connected
    together to form a closed loop, we have a system
    similar to a voltage amplifier with feedback
    mechanism.

19
  • The input to the controller is a signal
    representing the output condition of the process
    and the output of the controller is fed into the
    process.
  • The process may be broken down into a series of
    individual stages, called transfer stages and
    time lags due to the finite time taken for
    signals to travel from one point to another.
  • As the frequency of the input signal is increased
    the angle of lag increases, the largest possible
    lag for a signal stage being 90o.
  • The attenuation also increases as frequency is
    increased. Attenuation is the production of an
    output signal smaller than the corresponding
    input.

20
  • Frequency response of controller
  • A controller may be regarded as an amplifier.
    For sinusoidal input signals, a controller with
    proportional action only gives an output
    proportional to the input, but in phase
    opposition to it, whatever the frequency may be.
  • Transient response and stability
  • It is time variation of the output signal when a
    specified step input signal or disturbance is
    applied. The transient response of a speed
    control system is illustrated by the shape of the
    speed/time graph immediately following the sudden
    application of load or a sudden change in the
    desired speed setting.

21
LECTURE SIX
  • Computer-based systems
  • The increasingly widespread use of
    microprocessor-based process controllers over the
    last twenty years is due to their flexibility in
    operation, their ability to record (or log)
    data for subsequent calculations and the
    substantial reduction in their cost.
  • Computers can not only be programmed to read data
    from sensors and send signals to process control
    devices, but they can also store and analyse data
    and be connected to printers, communications
    devices, other computers and controllers
    throughout a plant.
  • They can also be easily reprogrammed by
    operators to accommodate new products or process
    changes.
  • Examples of the different types of computer
    controlled systems are described below.

22
  • Programmable logic controllers (PLCs)
  • A significant development in process control
    during the 1980s was the introduction of PLCs.
  • They are based on microcomputers, and have the
    same functions as relays, but with vastly greater
    flexibility.
  • Historically, they were first used to replace
    relays in simple repetitive applications, but the
    greater power was quickly used to develop other
    functions, including recipe storage, data
    transfer and communications with higher level
    computers.

23
  • Types of control systems
  • The different combinations in which PLCs and
    larger computers can be linked together in an
    integrated control system can be described in
    three categories
  • 1. dedicated systems
  • 2. centralised systems
  • 3. distributed systems.

24
  • Neural networks
  • Where complex relationships exist between a
    measured variable and the process or product, it
    has not yet been possible to automate the
    process.
  • Recent developments of expert systems or
    neural networks may have the potential to solve
    such problems.
  • These are able to automatically deduce complex
    relationships and also to quickly learn from
    experience.
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