Process Control Week

Days
Hours
Minutes
Seconds

Training features

Interactive discussions and Q&A sessions
Individual discussion & consultancy with the trainer

Case studies from the trainer's experience
Certificate of completion issued by the trainer
Comprehensive course documentation
meet the training leader
Howard Boder
Director/Consultant
NewLand Control (UK) Limited
Course description

PID Tuning Control

“Tune your PID control loops for the best possible performance!”

The course covers PID tuning. PID Control loops remain the main algorithm for controlling process flows, pressures, temperatures and levels in industry. However, tuning them for best performance is often a skill missing from many plants.

This course teaches how to tune the different types of PID control loop using the various techniques from a methodical trial and error method to more rigorous approaches and computer-based tuning and how to implement them in your Digital Control System.

Simulation based practicals are used. Learnings can be applied to all DCS systems.

HOW WE BUILD YOUR CONFIDENCE:

The course links theory to application. It reinforces this through real industry examples and allows participants to practice the theory through worked examples as part of the sessions.

The course is highly interactive and participants are encouraged to share their own experiences and problems to the benefit of all.

key training

Topics

✓ Introduction
✓ Instrumentation
✓ Dynamics
✓ Filtering
✓ PID
✓ Level control
✓ Cascade control
✓ Control loop monitoring
✓ Computer based monitoring
✓ Honeywell Profit Loop

Benefits of attending

Course description

Advanced Proces Control

“Improve your plant performance using ARC techniques (plus an introduction to multivariable predictive control)!”

The course covers the Advanced Regulatory Control techniques.

Advanced Regulatory Control techniques (ARC) are used to improve the control of key process variables on a plant. The basic control layer can benefit from best use of existing algorithms in the digital control system (DCS) to control a plant better than just the basic control.

This course covers more complex PID based schemes such as feedforward, deadtime compensation, decoupling, nonlinear adaptive control and constraint control. For completeness, the course also includes an introduction to multivariable predictive control.

Simulation based practicals are used. Learnings can be applied to all DCS systems.

HOW WE BUILD YOUR CONFIDENCE:

The course links theory to application. It reinforces this through real industry examples and allows participants to practice the theory through worked examples as part of the sessions.

The course is highly interactive and participants are encouraged to share their own experiences and problems to the benefit of all in addition to the presenter’s experience.

key training

Topics

✓ Introduction
✓ Tuning Refresher
✓ Feedforward
✓ Furnace Control
✓ Handling non-linearities (adaptive control)
✓ Deadtime compensation
✓ Distillation control
✓ Relative gain analysis
✓ Constraint Control and Constraint Override Control
✓ An Introduction to Multivariable control

Benefits of attending

training

Brochure

Reveal the full schedule of the training as well as key topics, course objectives, key takeaways, special features, and the trainer bio!

Process Control Week training organized by Fleming_Agenda Cover
Process Control Week training organized by Fleming_Agenda Cover
Process Control Week training organized by Fleming_Agenda Cover
Registration

Training ticket

Delegate Fee PID
Tuning Control
FROM
1996
Delegate Fee
Advanced Process Control
FROM
2296
Dual Training Pass
30% OFF if you book both courses
instead of
4292 €
FROM
2996

Contact us

FAQs – PID Tuning Control

Basically all of them! Refining, petrochemicals, chemicals, polymers, mining, metals, food processing, utilities, and other sectors relying on stable DCS-based control can benefit immediately from improved tuning competence.

It strengthens engineers’ ability to tune PID loops for flows, pressures, temperatures, and levels, enabling more stable and responsive plants while building a reliable basic control layer for future APC implementation.

Proper tuning directly enhances operational stability, reduces variability and valve wear and tear (and therefore maintenance), and supports control and optimisation strategies that can then be put on top, giving higher throughput, higher yield, and energy savings across both continuous and batch systems.

Yes. The course includes a discussion of the generic types of algorithms used in all DCS systems and also covers the most commonly used DCS platforms, such as Honeywell and Emerson, in more detail. Our software, ARC-t, covers most of the key DCS algorithms, and we will use that for computer-based tuning in the course.

Very relevant, as well-configured basic control layers are critical prerequisites for any successful APC deployment and/or optimisation schemes. Also, some of the advanced regulatory control techniques we teach become intermediate control strategies for multivariable control to support them, such as advanced temperature controls with feedforward, which then become manipulated variables in a multivariable controller.
Yes. The course has a strong section on noise, filtering, and how to reduce noise. People often don’t realise how easy it is to tune a filter when you know how.
Yes. There is a significant section covering level control in its own right, including both tight and averaging level control. Level control is a special topic because the loops are not self-regulating. We also cover the major types of cascade configurations for level controls and other types of cascades for other loops as well.
Yes. The course is structured for practical learning and welcomes participants with limited theory, focusing on hands-on understanding of tuning concepts and plant applications.
Yes. Practical discussions and simulation-based exercises reinforce what we cover in the course and allow you to see the effect of the different tuning parameters and control strategies.
It equips teams with stronger diagnostic skills, enabling better monitoring of loop performance and more informed adjustments to maintain long-term performance of control loops and advanced controls.

FAQs – Advanced Proces Control

Yes. The principles apply broadly across almost all industries, including refining, petrochemicals, oil and gas, chemicals, polymers, metals, mining, utilities, and many other process sectors seeking performance gains.

It teaches participants how to apply Advanced Regulatory Control (ARC) techniques such as feedforward, deadtime compensation, dynamic decoupling, adaptive control, and constraint control to achieve better control of their plant.

Only basic control knowledge is expected; the course is designed to develop ARC understanding for both junior and experienced engineers. However, whilst you don’t need to attend this course in order to attend the PID tuning course, ideally you should have attended the PID tuning course before this one, because we will be doing some PID tuning as part of tuning the advanced control schemes that we discuss and develop during the course.

Yes. The course focuses on smarter use of existing DCS algorithms so plants can improve performance before considering external APC packages, although we do include an introduction to multivariable control, which does require licensed software. We also have our own in-house software for tuning and advanced regulatory control, called ARC-t, which is available for purchase. The price is very reasonable compared to competitive products and most other industrial software. Our philosophy was that we wanted to develop a tool that is fast and easy to use, and one that we would want to use ourselves.

Feedforward can be a relatively simple technique to apply and can give fast results for disturbance rejection, resulting in smoother operation by absorbing disturbances and reacting to them correctly and at the right time. The simplest feedforward is ratio control, but even that needs to be applied properly, and we teach you how. For more complex feedforward, it is a powerful technique and the first step into “real” advanced control as opposed to basic PID control.
You will understand how to significantly improve scenarios where deadtime (delays) make control and PID tuning more difficult. In addition, this teaches some of the key basic principles used in model-based predictive control and multivariable control, giving you the understanding needed to start getting to grips with these more advanced technologies.
Yes. We cover all the main phases of a multivariable control project from start to finish, with examples from major packages on the market such as Honeywell Profit Controller and AspenTech DMC. We also provide an overview of the theory of multivariable control for the major packages from Honeywell and AspenTech. However, this is only an introductory section. If you want to learn multivariable control in detail, we can deliver a specific course on that, lasting around a week. These courses are usually carried out on site and are specific to the package you use and the industry you operate in.
Yes. The training helps participants recognise suitable Advanced Regulatory Control (ARC) applications and assess their potential operational benefits.
It highlights how well-designed ARC schemes can be used as a foundation for multivariable control and optimisation efforts.
Yes. The format encourages discussion, enabling engineers to connect course principles with their own plant issues and share control challenges with colleagues in the class. Naturally, we maintain confidentiality when discussing experience between different customers.

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