Industrial Advanced Process Control Design and Optimization

Utilize powerful features of the DCS and PLC

Ratings 4.57 / 5.00
Industrial Advanced Process Control Design and Optimization

What You Will Learn!

  • Learn how to design and build powerful controllers in the DCS/PLC.
  • Learn PID tuning, feedforward implementation, and parameter specification for all types of DCS/PLC controllers.
  • Learn how to precisely calculate tuning and other DCS parameters, eliminating guesswork and producing precise, optimized control action.
  • Learn how to be cautious when activating and commissioning new control schemes, avoiding errors, and initiating a control chain in the correct order.
  • Recognize when to utilize traditional advanced control and when to utilize multivariable model-predictive control.
  • Learn how to study a process and its P&IDs and confidently talk to the right people in the plant or control room.

Description

The DCS and PLC have many powerful features that still remain under-utilized. This course shows you how to tune PIDs and build powerful optimizing controllers inside the DCS or PLC. During the course, we use several industrial process control software products – Pitops, Simcet, Process Control CBT and ACSSI.

The course assumes that attendees have completed PID100 course (PID100 is a prerequisite for this APC200 course).

Attendees use real time-series plant data and identify multivariable closed-loop/open-loop dynamics. Then they build various control schemes all inside Pitops software – cascade, constraint override, maximizing and minimizing constraint controllers, selectors, model-based controllers, dead-time compensators and many others.

This course is designed more for engineers but also will offer tremendous value to operators, technicians and supervisors. PiControl software products used in this course are so very easy to use that the course can be comfortably followed by even new and inexperienced technicians. This course also covers advanced functions of PID controllers in more detail.

Learning outcomes:

At the end of the course, attendees will be able to study a process and its P&IDs and talk to the right people in the plant or control room and then design and build powerful controllers in the DCS/PLC. Attendees will become skilled in PID tuning, feedforward implementation, and parameter specification for all types of controllers in the DCS/PLC.

Further, using scientific process control methods and software products they will be able to calculate tuning and other DCS parameters precisely, thus eliminating guesswork and generating precise, optimized control action.

The course also trains attendees on how to be careful while activating and commissioning new control schemes, avoiding mistakes, and starting up a control chain in the right sequence.

This course is all you will ever need to use the full potential of the DCS or PLC and build powerful new controllers to stabilize plant operation and push against economic, market, process, and equipment constraints. Attendees will also learn when to use traditional advanced control and when to use multivariable model- predictive control, a very practical and useful skill.

Our APC200 (Industrial Advanced Process Control Design and Optimization) training course is very practical, easy to understand for everyone: engineers, technicians, operators and students – both new and experienced. That is why our customers consider us the best.

This training course covers the advanced principles of practical industrial process control, all in the time domain. Our course is more hands-on than any competitor. Students can download and install process control software products on their personal laptops for use during our process control training. The software products are full-blown industrial process control software applications used by the industry. This level of hands-on approach tremendously aids the learning process and mastering process control theory and practicals.

Our instructors have over 30 years of industrial experience and advanced process control training experience. They not only have the technical process control knowledge but also skills to make sure participants are fully engaged and able to concentrate on the material.

As part of the Udemy APC200 training course you will only get the possibility to install the following two powerful software products on your own computers (7-day free trial):

• SIMCET – real-time PID tuning training simulator

• PITOPS – system identification, PID tuning and optimization, and APC design

For installation and activation please contact us at info@picontrolsolutions.com. The usage of the above software packages is only limited to educational purposes, not for any industrial or commercial use.

If you would like to participate and enroll in more detail and a full-blown course on industrial advanced process control design and optimization and beyond, please contact us directly at info@picontrolsolutions.com. In our wider/full-blown advanced process control training course, in addition to Udemy topics, you will review primary process control and PID tuning terminology and learn how to identify nonlinear processes, how to design adaptive control, why system identification is important, and how to use it, how to design constraint control strategies using override selectors, how to improve plant efficiency and many other advanced techniques which can be easily applied in any PLC (Programmable Logic Controller) or a DCS (Distributed Control System) system.

After completion of our full-blown APC200 advanced process control training course, you will get an international diploma as a process control expert in the field of advanced process control, and you will get also possible to install our simulation and advanced optimization process control software for the time period of more than one month. For more information, please contact us at info@picontrolsolutions.com.

Who Should Attend!

  • Process Control Engineers, Advanced Process Control Engineers and Instrument Engineers
  • Lab Technicians and DCS/PLC Technicians
  • Managers and Supervisors

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Tags

  • Control Systems

Subscribers

17

Lectures

12

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