12.07.2015 Views

HVAC Control in the New Millennium.pdf - HVAC.Amickracing

HVAC Control in the New Millennium.pdf - HVAC.Amickracing

HVAC Control in the New Millennium.pdf - HVAC.Amickracing

SHOW MORE
SHOW LESS

You also want an ePaper? Increase the reach of your titles

YUMPU automatically turns print PDFs into web optimized ePapers that Google loves.

<strong>HVAC</strong> <strong>Control</strong> <strong>in</strong> <strong>the</strong> <strong>New</strong> <strong>Millennium</strong>Fuzzy logic rules are used to tra<strong>in</strong> <strong>the</strong> sensor to dist<strong>in</strong>guish <strong>the</strong>designated color and also to compute <strong>the</strong> sensor output signal. Coloracceptability corresponds to <strong>the</strong> logic set range of 0 to 1.Model-based <strong>Control</strong>The basic concept of model-based control <strong>in</strong>volves a model of <strong>the</strong>process which is used to calculate a value for <strong>the</strong> manipulated variable(m) (Fig. 6-9). This value should make <strong>the</strong> controller variable (x) behave <strong>in</strong>some desired way. If this is satisfied, <strong>the</strong>n this value of m is utilized.The controller does not use PID components and usually <strong>the</strong>re isonly one tun<strong>in</strong>g parameter, <strong>the</strong> speed of <strong>the</strong> controlled variable as itmoves to <strong>the</strong> setpo<strong>in</strong>t. Initializ<strong>in</strong>g <strong>the</strong> controller with a validated modelis a critical implementation step.The <strong>in</strong>verse model is used. In standard model<strong>in</strong>g, <strong>the</strong> <strong>in</strong>put is setand <strong>the</strong> response of <strong>the</strong> output is observed. The <strong>in</strong>verse model determ<strong>in</strong>eswhat <strong>in</strong>put causes a predeterm<strong>in</strong>ed output response. (Figure 6-10)If <strong>the</strong> model is exact, an open loop structure could be used. But,most controller models are not exact and <strong>the</strong>y require some feedbackcorrection. The usual approach is to monitor <strong>the</strong> difference between <strong>the</strong>model and <strong>the</strong> process output and adjust a controller feedback signal.The feedback signal is ei<strong>the</strong>r a bias to <strong>the</strong> setpo<strong>in</strong>t or a model coefficient.Model<strong>in</strong>g TechniquesThree dist<strong>in</strong>ct model<strong>in</strong>g approaches are used:• transfer function,• time series,• nonl<strong>in</strong>ear phenomenological.Figure 6-9. Model-based control©2001 by The Fairmont Press, Inc. All rights reserved.

Hooray! Your file is uploaded and ready to be published.

Saved successfully!

Ooh no, something went wrong!