INTUNE and INTUNE+ Software v7.5.2.0

ControlSoft, Inc. is excited to announce the release of INTUNE PID Loop Tuning Tools and INTUNE+ CLPM Software, version 7.5.2.0.

INTUNE PID Tuning Tools deliver advanced auto-tuning and advisory adaptive-tuning capabilities, reducing the time and effort required to achieve optimal PID controller performance.

INTUNE+ CLPM Software offers a non-intrusive solution for plant management and predictive maintenance. It combines process control monitoring with powerful diagnostic and tuning features to help you maintain peak efficiency.

This latest release introduces a series of enhancements inspired by user feedback, providing improved functionality and a more streamlined experience. Key highlights include:

Highlights

Software Enhancement Description
INTUNE PID Tuning Tools AutoTune Plugin The DataTune file limit is now 8192 datapoints, which matches the AutoTune datapoint limit.
INTUNE+ CLPM Statistics Plugin The Error Distribution (ErrDist) statistic now manages total sample counts when the current sample is not selected.
INTUNE+ CLPM Trending Plugin The Basic Wizard now permits the creation of additional new trends from the workspace.

Want to learn more about PID tuning? Consider our PID Loop Tuning training to learn about PID control fundamentals, how to evaluate the health of PID loops and how to tune a PID controller.

About ControlSoft

Since 1985, ControlSoft has been a global provider of platform-independent process control software and engineered solutions. Our products and services are sought by prominent companies in leading industries. By keeping a focus on improving plant availability, production efficiency, operational safety, and environmental compliance, we continue to deliver world-class control solutions for our customers.

Media Contact

Paul Botzman
pbotzman@controlsoftinc.com
phone 440-443-3900, ext. 101

Contact us to learn more about INTUNE software.

INTUNE is a registered trademark of ControlSoft Inc.

Tuning Cascade Loops

PID Tuning Objectives and Considerations

Top 6 Questions to Answer to Reduce Process Variability eBook

Top 6 Questions to Answer to Reduce Process Variability

There are times when a process variable (PV) shows an unacceptable level of variability around its setpoint (SP) while being regulated by a PID controller. In order to improve the quality of regulation of the process variable, there are six important questions to consider.

In this eBook we provide the six questions along with subsequent observations to help you in answering the questions.

Need more help with process control optimization?
We offer in-person and remote Engineering Services for additional guidance. Learn more >

ControlSoft Wins GCP Enterprise Tech Team of the Year

ControlSoft is honored to be recognized by the Greater Cleveland Partnership as the Enterprise Tech Team of the Year at the prestigious Best of Tech Awards. This accolade highlights ControlSoft’s commitment to innovation, collaboration, and excellence in technology leadership.

Presented annually, the Best of Tech Awards celebrate the companies, organizations, and individuals whose groundbreaking contributions are driving innovation and accelerating the growth of the technology sector throughout the Greater Cleveland region.

2024 Best of Tech Day: Award winners & highlights

Tuning Rules for PI and PID

Tuning Rules for PI and PID

Determining Which Controller to Use

A key challenge in setting up a control system is determining what type of controller to use. The PID controller is generally accepted as the standard for process control, but the PI controller is sometimes a suitable alternative. A PI controller is the equivalent of a PID controller with its D (derivative) term set to zero.

It is important to understand how controllers interact with each different type of process. For details, see Table 1.

Table 1 – How PI and PID Controllers Interact with Different Kinds of Processes

Controller Pl Controller PID Controller
Effective for These Processes Fast processes, such as flow, pressure, and some temperature loops. Slower processes, such as level and insulated temperature.
Tuning Parameters P = Proportional
I= IntegralPl controller is the equivalent of a PID controller with its D (derivative) term set to zero.
P = Proportional
I= Integral
D = DerivativeThe derivative term is particularly important for integrating processes, such as level, position, & well-insulated temperature.In general, using a derivative term can significantly increase the speed of the response of a non-integrating process and suppresses overshoot.
Response Speed Response is slower, thus enabling a smooth and accurate PV change. Response is faster, thus enabling setpoint to be reached more quickly.
Overshoot Overshoot will likely occur. Reduced or no overshoot.