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Dahlin Control of a Wood Flake Conveyor Dryer
Robert Spring, P. Eng., CAP
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Presenter Robert Spring, P.Eng, CAP
A specialist in heat energy and wood drying. Interests include optimization, sensors and advanced controls. Work experience in the mineral processing, pulping, paper-making and wood products industries.
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Why Dry?
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Conveyor Dryers – Transportation Delay
Transport Delay = 15 minutes Energy Usage = 10,000 Households
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Dryer Schematic
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PID versus Dahlin - Simulations
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“Not-dumb” Use of Information
Error Past Move Dead-time Fixed Parameters
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Design the Trajectory
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Synthesis Steps – Model Identification
Process Gain Process Time Constant Dead-time Control Time Interval
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Synthesis Steps – Controller Implementation
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Adaptive Dead-time
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Bumpless Transfer and Anti-windup
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Bumpless Transfer and Anti-windup
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Feed-forward
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Feed-forward
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Disturbance Model Time Constant Gain Dead-time
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Feed-forward
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Benefit of Feed forward - Simulations
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Before and After Dahlin Control
σ=1.8% σ=0.7%
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PLC Implementation
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Ladder Logic Sample
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Structured Text Sample
// b*x(t) NewSpeed := Lambda *OldSpeed; // DelayAdj changes with the speed Index := DelayAdj; // Reference into stored vector of past speeds SpeedDelayedN := Speed_Time_Series[Index]; // (1-b)*x(t-n) NewSpeed := NewSpeed+(1.0-Lambda)*SpeedDelayedN;
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Packaging as a Subroutine or Add-on
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Conclusions – Dahlin Control
Suited for: long dead-time variable dead-time feed-forward compensation Simple to program (ladder logic or structured text) Single tuning parameter
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Result: Make Every Board the Same
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