Posts Tagged ‘PID’
Rockwell PID Execution Time: the Difference Between Continuous and Periodic Tasks
Have you ever seen an Integral Term on a PID controller that seems an order of magnitude larger or smaller than what should be used? Often, the issue stems from the method in which logic is executed on the Process Automation Controller (PAC).
Read MoreWhat is Process Gain? Why is Process Gain important when tuning Processes?
Professionals who tune PID controllers using manual methods tend to agree that understanding the Process Gain of their system is of the up-most importance. Among industry practitioners the Process Gain is often referred to as the “how far” or even the “sensitivity” variable and yet these descriptions can be rather vague to beginners.
Read MoreControl Station: Techniques of Applied Process Control
With engineers retiring at a dramatic rate, process control training classes that prepare the next generation of process control experts are more important than ever. In most cases, training workshops…
Read MoreApril 24, 2018 – Automation OEMs Address Market Demand for Regulatory Control Optimization
Control Station today announced the acceptance of several invitations to present at user conferences and symposia hosted by major automation OEMs during 2018. Planned presentations will address best-practices for tuning the control systems that provide the foundation of factory automation…
Read MoreTool Tips: Connecting to a Live Controller
Welcome to Control Station’s Tool Tips video series. LOOP-PRO TUNER is award-winning technology from Control Station that applies a repeatable 6-step method to the tuning of PID controllers. It supports…
Read MoreCascade Control: Improving Disturbance Rejection Through Advanced PID Control
There’s a common misconception in various corners of the process industries related to advanced
process control (APC). When the topic of APC is raised it’s not uncommon for practitioners to
immediately think of complex fuzzy logic and model predictive solutions. But a broader view of APC also includes advanced applications of the Proportional Integral Derivative (PID) controller. Chief among those APC solutions both used in industry and based on the PID is Cascade Control.
Why the Model Matters: Accurate Modeling is the Key to Improving Production Throughput
When a control loop can be maintained at a steady-state before performing a step test, it is
relatively easy to tune manually. It’s when process conditions are complex that practitioners
need the help of software. Historically that’s when software has failed — and failed consistently. But something has changed in the modeling of ‘real world’ processes
Process Control 101: Put Your Knowledge to the Test
Think You Know Something About Process Control? As a leader in process control solutions,
Control Station knows that effective control depends on sound knowledge and application of proven best-practices. And as common and essential as PID control is to today’s production
facilities, there is a clear knowledge gap. Take our simple quiz – the results might surprise you.
Where Can I Get Control Station 3.7? What Happened to Control Station v3.7?
While not all things get better with time some things do actually improve as they age. Anyone over 40 might argue with that statement, and they might have every reason to do so from a personal and physical standpoint. Even so, just a casual glance around – whether in an academic or an industrial setting – offers signs of progress nearly everywhere. To be sure there’s been plenty of progress here at Control Station.
Read MoreWho Should Use Feed Forward Control? What applications are best for Feed Forward?
It’s not uncommon for process control discussions to focus on use of the PID to improve a loop’s ability to track Set Point. Oftentimes tweaks to controller tuning parameters either seek incremental reduction in Settling Time or strive to limit Overshoot. Indeed, many PID tuning courses position optimization of a control loop’s Set Point Tracking as the ultimate goal. Such a bias overlooks the value of other strategies like Feed Forward Control.
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