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FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson Education, Inc. Upper Saddle River, New Jersey 07458 All rights reserved.
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FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

Mar 27, 2015

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Page 1: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.1 Two variable process-control loops that interact.

Curtis JohnsonProcess Control Instrumentation Technology, 8e]

Copyright ©2006 by Pearson Education, Inc.Upper Saddle River, New Jersey 07458

All rights reserved.

Page 2: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.2 A compound system for which the ratio of two flow rates is controlled.

Curtis JohnsonProcess Control Instrumentation Technology, 8e]

Copyright ©2006 by Pearson Education, Inc.Upper Saddle River, New Jersey 07458

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Page 3: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.3 Circuit for Example 12.1.

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Page 4: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.4 General features of a cascade process-control system.

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Page 5: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.5 Cascade control often provides better control than direct methods.

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Copyright ©2006 by Pearson Education, Inc.Upper Saddle River, New Jersey 07458

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Page 6: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.6 Flowchart for an interactive control problem.

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Page 7: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.7 Loop disturbances can occur from intentional setpoint changes or changes in process load.

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Copyright ©2006 by Pearson Education, Inc.Upper Saddle River, New Jersey 07458

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Page 8: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.8 Instability in a process-control loop refers to the uncontrolled growth of the controlled variable.

Curtis JohnsonProcess Control Instrumentation Technology, 8e]

Copyright ©2006 by Pearson Education, Inc.Upper Saddle River, New Jersey 07458

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Page 9: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.9 Tuning determines the reaction of a controlled variable to changes.

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Page 10: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.10 In one type of cyclic response, the system is adjusted to make each peak down to one-quarter of the previous peak.

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Page 11: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.11 The minimum-area tuning response characteristics.

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Copyright ©2006 by Pearson Education, Inc.Upper Saddle River, New Jersey 07458

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Page 12: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.12 Error versus time for Example 12.4.

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Copyright ©2006 by Pearson Education, Inc.Upper Saddle River, New Jersey 07458

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Page 13: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.13 A transfer function changes the amplitude and phase of a sinusoidal input.

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Copyright ©2006 by Pearson Education, Inc.Upper Saddle River, New Jersey 07458

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Page 14: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.14 This control loop has been opened so that the effect of a disturbance on the loop can be traced.

Curtis JohnsonProcess Control Instrumentation Technology, 8e]

Copyright ©2006 by Pearson Education, Inc.Upper Saddle River, New Jersey 07458

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Page 15: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.15 This figure suggests how an initial transient oscillation can grow under the appropriate feedback conditions.

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Page 16: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.16 A Bode plot shows the open-loop gain and phase versus frequency of an applied sinusoid.

Curtis JohnsonProcess Control Instrumentation Technology, 8e]

Copyright ©2006 by Pearson Education, Inc.Upper Saddle River, New Jersey 07458

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Page 17: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.17 Process-reaction graph for loop tuning.

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Page 18: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.18 Process-reaction graph for Example 12.7.

Curtis JohnsonProcess Control Instrumentation Technology, 8e]

Copyright ©2006 by Pearson Education, Inc.Upper Saddle River, New Jersey 07458

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Page 19: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.19 Bode plot for Example 12.9.

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Copyright ©2006 by Pearson Education, Inc.Upper Saddle River, New Jersey 07458

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Page 20: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.20 Bode plots showing proportional, integral, and derivative mode contributions.

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Copyright ©2006 by Pearson Education, Inc.Upper Saddle River, New Jersey 07458

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Page 21: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.21 Bode plots for Example 12.11. The proportional mode does not affect phase.

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Page 22: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.22 Circuit for Problem 12.6.

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Page 23: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.23 Process-reaction graph for Problem 12.8.

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Copyright ©2006 by Pearson Education, Inc.Upper Saddle River, New Jersey 07458

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Page 24: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.24 Bode plot for Problems 12.10 and 12.11.

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Page 25: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.25 Bode plot for Problem 12.13.

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Copyright ©2006 by Pearson Education, Inc.Upper Saddle River, New Jersey 07458

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Page 26: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.26 Bode plot for Problem 12.15.

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Copyright ©2006 by Pearson Education, Inc.Upper Saddle River, New Jersey 07458

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Page 27: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.27 Process-reaction graph for Problem 12.16.

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Copyright ©2006 by Pearson Education, Inc.Upper Saddle River, New Jersey 07458

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Page 28: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.28 Bode plot for Problem 12.17.

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Copyright ©2006 by Pearson Education, Inc.Upper Saddle River, New Jersey 07458

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Page 29: FIGURE 12.1 Two variable process-control loops that interact. Curtis Johnson Process Control Instrumentation Technology, 8e] Copyright ©2006 by Pearson.

FIGURE 12.29 Process-reaction graph for Problem S12.1.

Curtis JohnsonProcess Control Instrumentation Technology, 8e]

Copyright ©2006 by Pearson Education, Inc.Upper Saddle River, New Jersey 07458

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