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All posts by controlguru

09
Apr 2015
15

Analyzing Pumped Tank Dynamics with a FOPDT Integrating Model

Integrating (Non Self Regulating) Processes, Uncategorized controlguru

By Bob Rice1 and Doug Cooper Integrating (or non-self regulating) processes display counter-intuitive behaviors that make them surprisingly challenging to control. In particular, they do not naturally settle out to […]

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09
Apr 2015
14

A Design and Tuning Recipe for Integrating Processes

Integrating (Non Self Regulating) Processes controlguru

By Bob Rice1 and Doug Cooper As has been discussed elsewhere in this e-book, it is best practice to follow a formal recipe when designing and tuning a PID controller. […]

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09
Apr 2015
31

Recognizing Integrating (Non-Self Regulating) Process Behavior

Integrating (Non Self Regulating) Processes, Uncategorized controlguru

By Bob Rice1 and Doug Cooper The case studies on this site largely focus on the control of self regulating processes. The principal characteristic that makes a process self regulating […]

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07
Apr 2015
31

Comparing Controller Performance Using Plot Data

Evaluating Controller Performance controlguru

When considering the range of control challenges found across the process industries, it becomes apparent that very different controller behaviors can be considered “good” performance. While one process may be […]

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07
Apr 2015
2

Do Not Model Disturbance Driven Data for Controller Tuning

Controller Tuning Using Closed-Loop (Automatic Mode) Data controlguru

A fairly common stumbling block for those new to controller tuning relates to step 2 of the controller design and tuning recipe. Step 2 says to “collect controller output (CO) […]

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07
Apr 2015
9

Controller Tuning Using Set Point Driven Data

Controller Tuning Using Closed-Loop (Automatic Mode) Data controlguru

The controller design and tuning recipe we have used so successfully on this site requires that we bump our process and collect dynamic data as the process responds. For the […]

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07
Apr 2015
46

Ziegler-Nichols Tuning Poor Choice For Production Processes

Controller Tuning Using Closed-Loop (Automatic Mode) Data controlguru

Ziegler and Nichols first proposed their method in 1942. It is a trial-and-error loop tuning technique that is still widely used today. The automatic mode (closed-loop) procedure is as follows:

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07
Apr 2015
2

Plant-Wide Control Requires a Strong PID Foundation

Exploring Deeper: Sample Time, Parameter Scheduling, Plant-Wide Control controlguru

The term “plant-wide control” is used here to describe the use of advanced software that sits above (or on top of) the individual PID controllers running a number of process […]

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07
Apr 2015
6

Parameter Scheduling and Adaptive Control of Nonlinear Processes

Exploring Deeper: Sample Time, Parameter Scheduling, Plant-Wide Control controlguru

Processes with streams comprised of gases, liquids, powders, slurries and melts tend to exhibit changing (or nonlinear) process behavior as operating level changes. We discussed the nonlinear nature of the […]

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07
Apr 2015
71

Sample Time is a Fundamental Design and Tuning Specification

Exploring Deeper: Sample Time, Parameter Scheduling, Plant-Wide Control controlguru

There are two sample times, T, used in process controller design and tuning. One is the control loop sample time (step 4 of the design and tuning recipe) that specifies […]

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