chapter 24 process control
TRANSCRIPT
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Handbook for Pulp &
Technologists
Chapter 24: Process Control
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Introduction
All industrial processes manifest inherent variability which must be
minimized it the plant operation is to yield uniform, high-quality product
with efficient utilization of raw materials, manpower, and energy. Theobjective of process control is to maintain the process (and each element
of the process) within well-defined limits of variation.
A time plot for a process variable (shown in Figure 24-1) illustrates
acceptable control, except for one period of operation that is "out of control".
For a process under manual control, the operator watches the trend of the datapoints, and makes adjustments to keep the process within limits. But
sometimes, depending on the degree of process stability, accuracy of the data
points, and narrowness of the limit lines, the operator may only be able to take
corrective action after the variable has strayed outside the process limits.
Very few processes or process "elements" within the pulp and paper mill are
stilt under manual control. Most processing steps are automatically controlled
utilizing digital or analog equipment. Increasingly, computers are utilized to
coordinate control and record-keeping aspects for the entire manufacturing
sequence.
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Introduction
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I. Measurement and Control
A typical automatic control loop consists of three basic components:
sensor (with transmitter), controller, and control element, The interaction
of these components is shown schematically in Figure 24-2.An example of a control loop common to all pulp and paper operations
is the consistency control loop shown in Figure 24-3. Here the sensor
measures consistency in the stock line and transmits an appropriate
signal to the controller; the controller compares the incoming signal tothe set point and transmits an error signal to the dilution valve; the
dilution valve opening is then attenuated in the direction of correcting the
error.
Perhaps the most common control application with respect to all
process industries is temperature regulation utilizing a steam valve as the
control element. Other common applications are control of flow rate and
tank level using a flow control valve and control of gas pressure using a
pressure relief valve.
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I. Measurement and Control
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I. Measurement and Control
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I.1 Sensor
The sensor is at the heart of any control loop. Automation cannot be properlyimplemented without a reliable indication of dependent variable behavior; andsome operations within the pulp and paper industry have only recently becomeamenable to automatic control by virtue of new measurement techniques. Somecontrol strategies must still rely on manual testing results for input into thecontrol system.
In general, few variables can be measured directly with process instrumentsand dependence must be placed on measurement of related properties. For
example, the moisture content of paper can only be measured directly bylaboratory methods; but it can be accurately inferred from measurement of suchrelated properties as:
resistance to electric current,
dielectric resistance,
absorption of microwave energy,
absorption of infrared energy.
The principles of measurement for some of the variables commonlymonitored or controlled in the pulp and paper industry are summarized in Table
24-1.
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I.1 Sensor
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I.2 Controller
In almost every process, certain variables must be rigidly controlled atspecified values in order to maintain efficient operation. The controllers
are given these desired values in the form of set points. For a basiccontrol loop, the set point may be keyed in at a control console, orentered by means of a set point knob on the controller itself. In eithercase, the setting corresponds to a dc electrical signal within the 4-20 mArange (or to a pneumatic signal within the 3-15 psig range).
The measured value is also converted to a 4-20 mA DC (or 3-15 psig)signal and is transmitted from the sensor to the controller. Comparison ofthe set point and input signals results in a difference, known as the error,which is the key actuating signal in the controller. The respondingcontrol action will depend on the direction and magnitude of the error,
and in some cases on how fast the error is changing. The controller actsto reduce the error and bring the actual value toward the desired value bymeans of the output signal. The output signal is generally of the sametype as the set point and input signals, namely 4-20 mA do (or 3-15
psig).
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I.3 Analog model
If the Controller is to carry out its function to automatically regulate a
process variable at a desired value, the control loop must be adapted and
tuned to the characteristics of the process. Three common modes ofcontrol are used in analog systems for the majority of process
applications depending on response time and lag-lead requirements. The
respective adjustable settings are known as proportional band or gain (P),
integral or reset (I), and derivative or rate (D).
Proportional hand is defined as the range of values of the process
variable in which there is proportional control action, expressed as a
percentage of the full scale range of the controller. For example, if the
full scale range of a temperature controller is 0 to 200 C and the
proportional control action is over a 50 C range, the proportional hand is
then 25%. If the proportional control action is over a 2000 C range, the
proportional hand is then 100%. The width of the proportional band
determines the amount of valve motion for any given change in the
controlled variable.
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I.3 Analog model
A process may stabilize at a point other than the set point when using a
simple proportional controller. The difference between the stabilization point
and the set point is known as offset. Sometimes the offset is small and can betolerated. When offset is undesirable, proportional plus reset (two-mode
control) is required to modify the output signal and eliminate the offset. Reset
action can be visualized as a shifting of the proportional hand. The reset
adjustment (tuning) is in the form of timing, and the reset rate is commonly
expressed as repeats per minute. Reset is proportional to the magnitude of errorand to the duration of error; its action accumulates as long as there is an error,
but ceases when the error is reduced to zero.
Occasionally, a particular process will have a dead time and transfer lag in
such a way as to cause unsatisfactory control with single or two-mode control.
It is then necessary to add the third mode of control known as derivative or rate
action. This third mode provides a continuous relationship between the rate of
change of the process variable and the output signal. It provides an initially
large over-correction to compensate for an unfavorable process lag. Derivative
time is the interval by which derivative action advances the time of proportional
action, and the derivative mode adjustment (tuning) is in a timing form.
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I.4 Digital Controller
In the 1970's, instrument loops requiring the PID control function werebest served by analog equipment. Computer control techniques such as
time sharing and point sampling introduced deadtime and phase lag intothe PID function which diminished the responsiveness and stability ofthe control system. These problems were overcome in the distributedcontrol systems of the 1950's, through development of new algorithmsand nonlinear compensation methods. The majority of controllers today
are micro-processor based.Modern digital controllers provide some significant advantages over
analog systems. Firstly, the same control functions can he implementedwith less hardware and with more reliable components. Perhaps thegreatest advantage is that the control functions are not tied to hardware,
but can be configured to implement a variety of functions. Moresophisticated and better control strategies can be implemented at littlecost once the basic controller hardware is installed. Also, the highaccuracy and drift-free nature of digital control allows the user to operatehis process nearer to its limits.
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I.5 Smart Sensors
In the context of microprocessor-based controllers, the term "smart
sensor" is often used. Generally a product with the designation "smart"
will have certain capabilities of self calibration, internal diagnostics,setting of parameters from remote locations. compensation for variations
in other variables, linearization, and simplified tuning of coefficients.
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I.6 Programmable Logic Controller (PLC)
A programmable controller is a digitally operating electronic apparatus
that uses a programmable memory for the internal storage of instructions
that implement specific functions such as logic, sequence, timing,counting. and arithmetic to control machines and processes. This type of
controller was developed in the 1970's and has a wide application in
certain manufacturing operations. In the pulp and paper industry, these
controllers are utilized mainly for discrete logic, safety interlocks and
other sequencing operations.
While modern PLC's have the capability to control certain analog
loops, they tend to interface poorly with computers because their design
emphasis has not included algorithmic and configuration requirements.
The inability to integrate with computer software has thus far severely
limited their application to process control in the pulp and paper industry.
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I.7 Feedback and Feed-Forward Control
A typical control loop utilizes feedback control. With this node of
control, the controller cannot act until an error has developed. In most
control applications, the elapsed time between controller action andfeedback signal is short, and satisfactory control is achieved.
For slow processes with long time delays, change in load or
composition may show up too late to enable the controller to hold the
controlled variable within the desired limits. By adding feed-forwardcontrol, a correction can be made for anticipate,) changes of load or
composition, thereby minimizing the transient error that would otherwise
result, Feed-forward control by itself is functionally limited, and
must be used in conjunction with a feedback loop to provide full control.
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I.8 Control Valves
In the majority of control applications, an automatic valve is employed
as the control element. The control valve is essentially a variable orifice
used to regulate the flow of a process fluid in accordance with therequirements of the process. Proper selection of the valve with respect to
design, size and materials of construction is critical to satisfactory
performance and service.
Three features of control valves should be evaluated to ensure correctcontrol response: capacity, characteristic and rangeability. The
characteristic is the flow response to valve opening (percent of stem
travel) over the full range. Different valve characteristics are illustrated
in Figure 24-4. For most control applications, a linear-type response is
desired. The rangeability is the ratio of flows (high to low) through
which the control valve can give stable operation: a relatively low figure
indicates that the valve characteristic is non-linear.
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I.8 Control Valves
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I.8 Control Valves
It is also important to select the proper type and structure of valve to
avoid such service-related problems as corrosion, flashing, plugging,
cavitation, noise, vibration and seat leakage. Some common types ofvalves are depicted in Figure 24-5. A typical automatic flow control
valve with pneumatic actuator is shown in Figure 24-6.
The actuator on a control valve is normally an air-operated diaphragm
or piston, which translates it signal from the controller into stem or vanemovement. Springs oppose the force of air pressure to hold the plug or
vane in position against the forces of fluid flow, and act to return the
valve to a closed position when the air pressure is reduced.
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I.8 Control Valves
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I.8 Control Valves
9 A C C
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I.9 Advanced Control Concepts
More complex control systems often use two or more measurements in
a control loop. The basic form for multiple-variable control is cascade
control. Other common systems are ratio control and cutback control.With a cascade arrangement, the objective is to improve control of the
primary variable by interlocking the primary controller with the
controller for a secondary variable which influences the value of the
primary variable, The output from the primary controller adjusts the set
point of the secondary controller, thus helping to manipulate the primary
variable. The secondary loop is typically introduced to improve control
of processes marked by upsets and long time constants, and which
cannot be satisfactorily controlled by it single three-mode controller. The
secondary variable is not controlled in the usual sense, but ismanipulated.
I 9 Ad d C l C
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I.9 Advanced Control Concepts
Ratio control is used when it is desired to control one variable in a
fixed ratio to a second variable. In practice, a change in set point for a
primary controller will actuate the ratio mechanism in the secondcontroller, which adjusts the set point of the secondary variable to
maintain the fixed ratio. This control principle is commonly used for
paper mill stock proportioning systems.
Cutback (or auto selector) control is used when a single, final controlelement is to be manipulated to prevent a process variable from
exceeding a preset limit. This control mode may be provided to ensure
operator safety or protect equipment in case of process system
malfunction.
I 10 El t i P ti I t t ti
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I.10 Electronic vs. Pneumatic Instrumentation
Electronic and pneumatic instrumentation systems are both widely
used, and each type provides good performance. Electronic systems
cover virtually all industrial processes. Pneumatic systems can measuremost variables, with a few exceptions such as pH and chemical
composition. In many applications, there appears to be little difference in
sensitivity and reliability between the two types of systems. However,
electronic systems have the advantage of instantaneous response; and
there is no limit to the distance that an electronic signal can be
transmitted.
Generally, costs for electronic instrumentation are higher than for the
pneumatic counterpart. For computer and microprocessor-based systems,
electronic signals are required. While a pneumatic signal can be easilyconverted to an electrical signal using a transducer (and vice versa), the
conversion imposes additional limits on control accuracy.
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II. Process Control Computers
In the 1960's the digital computer was introduced into process control, but
was slow to gain acceptance in pulp and paper mills because of high capital
investment and because measuring techniques were not available to providemany of the inputs required for overall control strategy. The utilization of
computers accelerated in the 1970's when their relative cost declined markedly
at the same time that many new sensing techniques were introduced.
In the final analysis, the major reason for installing a computer is to be able to
operate the process more efficiently and more profitably. Other benefit, arethe centralized interface which increases operator awareness of the process, and
the provision of reporting documentation for management purposes.
Today's process computers and microprocessors utilize concepts of logic and
handle complex control schemes including niultiloop cascade system,
compensation for time delays, and non-linear and variable instrument
parameters. They also provide for data acquisition and display, statistical
analysis and establishment of mathematical models.
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II.1 Evolution of Development
The first computer technology available for process control was the
large main frame computer. To justify installation of this expensive unit,
extensive (and often unrealistic) project objectives were developed. Thepurchasers were often unaware of the time and effort that was necessary
to program their computer.
The earliest installations were used primarily to gather and record
process data (i.e., monitor the process and act as data loggers), set offalarms (if necessary) and make calculations. Initially, these computers
were not used to control process instruments directly, but they supplied
the operator with the information lie needed to properly adjust the set
points of various control devices.
II 2 S i Di it l C t l (SDC)
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II.2 Supervisory Digital Control (SDC)
Supervisory control was a logical progressive step for a mill that was
fully automated with analog control loops. In this concept, the computer
receives the same sensor signals as the controllers and is able to providea picture of the current status of the process variables. The computer
periodically calculates (on the basis of input signals and programmed
instructions) what the optimum values should be for selected variables
(e.g., to produce maximum yield of product at the required quality level).
It then changes the set points of the controllers to bring the process
operation in line with the newly calculated conditions, Without the
computer, these calculations were handled manually, usually with less
frequency and with far less precision.
In a mill with existing controllers that are capable of accepting remotesetpoints, SDC may still be it cost-effective approach to adding it
computer control system. However, if the existing controllers must be
replaced. a distributed control system will typically be the most viable
option.
II 3 Di t Di it l C t l (DDC)
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II.3 Direct Digital Control (DDC)
The next development was direct digital control where the computer
replaced the functions of the analog controllers in the control loops, and
added a level of supervisory control. With DDC, the loop concept isretained, but all loop variables feed to the computer. In each case, the
computer calculates the necessary corrective action and transmits it
directly to the control element. The major problem with DDC is total
dependency on the computer, and it is necessary to provide backup
options to ensure continuity of operation during servicing of the
computer. The most satisfactory strategy has been to employ two digital
computers, each with the full facility to control the process should a
failure occur in the other.
The popularity of DDC was short-lived, and this concept is nowseldom used. Dual computers are costly and quickly require upgrading or
the addition of more dual computers as the control and programming
tasks increase.
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II.4 Minicomputer
With the development of smaller, lower-cost computers in the early
1970's, it was no longer necessary to put together an extensive control
project to justify, the purchase and installation of a system. Theminicomputer was economically more suited than the mainframe to
simple control strategies involving a few key loops. The special-purpose
computer along with improved sensor technology was utilized most
successfully around the paper machine. In spite of shortcomings,
packaged control systems were successful because they concentrated on
the key variables of any papermaking operation and controlled them.
However, by the late 1970's, the dedicated minicomputer approach
was already at its limits. As the mini became more powerful, functions
and features were added; and this brought to the minicomputers theproblems of complexity and unreliability formerly associated with large
computer projects, Expansions and retrofits were complicated, and inter-
system communications were difficult and costly.
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II.5 Distributed Control Systems (DCS)
Today's preferred mode of computer control is by deployment of
numerous smaller computers in place of the large general-purpose
computer. The key to DCS is to spread computing and controllingfunctions throughout the plant. This distribution puts the controlling
"intelligence" close to the unit operations. Generally, smaller computers
or microprocessors (designed and programmed for specific tasks) are
easier to justify both technically and economically.
Many distributed systems utilize a hierarchy of controllers from single-
loop microprocessor-based controllers tip to multi-loop or interactive
microprocessor-based controllers. This ability to select the appropriate
sophistication of control technique for each specific process unit
provides for the functional distribution of control throughout the entireprocess.
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II.5 Distributed Control Systems (DCS)
In a truly distributed system, the various process control units (which
may be geographically separated) are linked together on it data bus or
data highway, allowing speedy, efficient transfer of data back and forthbetween local computers (and with a central-operations computer, if
used). This communication technique usually results in, significant
reduction in field wiring casts (compared to it central-control computer)
since a single coaxial cable can link together as many as four or five
hundred single control loops. In DCS, redundant communications are
common, allowing for a back-up communications link to take over
should the primary one fail.
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II.5 Distributed Control Systems (DCS)
While some weatherproof housing is required for the distributed
controllers, time environmental conditions can be significantly more
extreme than those required for the computer itself. If the computer islost for any reason, the "intelligent controllers continue to control the
process. Thus, it redundant computer does not have to be purchased.
Obviously, should a microprocessor-based controller fail, the degree of
failure in terms of the number of loops affected is dependent on the
design of the control system. Usually, those controllers on the most
critical loops of the distributed system are backed-up by secondary
units (redundant controllers).
Although a distributed system can be configured, if necessary, as it
supervisory or direct digital control system, these control concepts arenot applicable in the majority of cases because of the sophistication
available within the microprocessor-based systern at the single loop
level. Essentially, each microprocessor-based controller has all the
input, output and computing sub-systems as the computer itself.
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II.6 Mill-Wide Control
While mini-computers and microprocessors have taken over many of the
control functions, interest has re-focused on the central computer as an
information and guidance system, especially for it paper mill or integrated
operation. The objective would be to interconnect all the digital systems into a
mill-wide network to provide effective management decision support tools.
This integration of process control and decision making is sometimes referred
to as the pulp and paper industry's realization of computer-aided manufacture.
In view of the complexity of pulp and paper mill systems and the constantefforts to improve overall mill performance, a sophisticated information and
analytical system can be a valuable tool for both management and operating
personnel. Typically, the central computer (as the final element of a
"hierarchical" control structure) will utilize a high-speed printer to produce a
number of reports on daily, weekly and monthly bases. While graphic displayof an individual process (e.g., digester, lime kiln) is handled in the respective
dedicated computer, the central computer usually provides overview displays. It
also carries out material and energy balances, produces time-based curves
(current and historical), and calculates production optimization strategies.
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II.6 Mill-Wide Control
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II.6 Mill-Wide Control
There are many concepts of millwide control. One conceptualization is
illustrated in Figure 24-7 wherein the objectives, implementation
responsibility, and typical response times are laid out (I). The basicbuilding blocks at the bottom of the pyramid (level I) are the
instrumentation systems. Without a well-designed and maintained
instrumentation/electrical system, any attempt at millwide control would
be foolhardy. At the second level is unit process control and supervision
of quality. The third level is production and energy management, which
is usually referred to as the "rnillwide control" level. Finally, the highest
level in this particular model is production scheduling. Here, the major
objective is to schedule orders in a manner to achieve maximum
utilization of the production facilities.In spite of extensive lobbying by the proponents of mill-wide control,
relatively few mill-wide systems had been implemented in North
America by the early 1990s, perhaps because other concerns were
perceived as being more urgent of attention.
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II.7 Control room
The move away from conventional analog instrumentation to computer control hasrevolutionized the control room. The most visible aspect is the video-based operatorstation. In the modern control room, the video screen (CRT) is the operator's window to
the process, wherein the logical and functional presentations of process informationpermit a rapid and efficient two-way communication. Although the information on thescreen is much the same as was formerly available on analog instruments, the methodof depiction, the amount of information, and the accuracy are all enhanced.
Typically, the operator runs the process from an air-conditioned and humidity-regulated control center. Ideally the work station should be situated in an environment
where the operator can concentrate on plant status. grid not be distracted by high foottraffic, insufficient work space, or disorganized reference materials (2). All the displaysand controls should be located at a central point within the reach and viewing range ofthe operator. A console should consist of four to eight CRT's installed in a cabinetconfigured for use by a seated operator (for example, see Figure 24-8). The console isusually semicircular in shape with one or two tiers of CRT's.
The keyboard is also a key part of the operator interface. By appropriate input,the operator changes the set points on the basic control loops, and pages throughthe different groups while sitting at the console, analogous to moving along a panelmonitoring various analog instruments. Although most keyboards are standardunits, customized keyboards may be designed for specific operator functions to
simplify the operating system and provide greater security.
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II.7 Control room