Well-designed and properly tuned process control is essential for every process plant. The PLC and DCS have many powerful options that remain underutilized. In this course we show you how to tune PID controllers and build powerful control strategies in the PLC or DCS. During the course we illustrate this with various practical control problems from the industry that are simulated the computer simulation software packages SIMCET and PITOPS. The students also get this software installed on their laptop with a temporary license for the duration of the course, so that they can continue to practice the subject matter between sessions. The course starts in module 1 with the basic concepts of PID control and explains from module 2 onwards the more advanced control concepts.
Objective: at the end of the course, participants will be able to study a process and its P & IDs and talk to the right people in the factory or control room and then design powerful controllers for the PLC / DCS. Participants will be trained in PID tuning and also in the design and adjustment of advanced “regulatory” control schemes, and this for all types of controllers / PLC / DCS. In this way they will be able to stabilize the production process and bring it to its limits in terms of production volume and quality.
Module 1 (08/10/2019)
basic PID control: terminology, various practical PID implementations, trial-and-error PID tuning rules and practicing with real-time simulation software SIMCET, signal filtering, system identification, the various PID tuning methods + practicing system identification and optimizing PID parameters with specialized software PITOPS
Module 2 (12/11/2019)
advanced process control part 1: cascade control, PV tracking, feedforward control, advanced system identification, control of non-linear processes + practicing system identification and optimizing PID parameters with specialized software PITOPS
Module 3 (26/11/2019)
advanced process control part 2: adaptive control, dead time compensation, internal model control, ratio control, split-range control, constraint override selectors + practicing system identification and optimizing PID parameters with specialized software PITOPS
Module 4 (17/12/2019)
advanced process control part 3: model-based control, soft sensors, decouplers, model predictive control, rule-based control, supervisory control + practicing system identification and optimizing PID parameters with specialized software PITOPS
Dr. Ir. Ing. Jan Verhasselt
Founder and managing director of Yazzoom, specialized in data analytics and process control software and services including practical trainings in PID- and advanced process control.
Dr. Ir. Janelcy Alferes
Senior Advanced Process Control Engineer at Yazzoom. Expert in data analytics, modelling, automatic control and optimization with experience as a teacher at CEIT, modelEAU and CIRSEE-SUEZ.