Next Article in Journal
Modelling and Feasibility Study on Using Tidal Power with an Energy Storage Utility for Residential Needs
Next Article in Special Issue
2-Stroke Scavenging in Conventional and Minimally-Modified 4-Stroke Engines for Heavy Duty Applications at Low to Medium Speeds
Previous Article in Journal
Skeleton-Based Human Action Recognition through Third-Order Tensor Representation and Spatio-Temporal Analysis
Previous Article in Special Issue
Automatically Monitoring, Controlling, and Reporting Status/Data for Multiple Product Life Test Stands
Open AccessReview

The 5W’s for Control as Part of Industry 4.0: Why, What, Where, Who, and When—A PID and MPC Control Perspective

by Anca Maxim 1,2,3,*, Dana Copot 2,3, Cosmin Copot 4 and Clara M. Ionescu 2,3,5
1
Department of Automatic Control and Applied Informatics, “Gheorghe Asachi” Technical University Iasi, Blvd. D. Mangeron 27, 700050 Iasi, Romania
2
DYSC Research Group, Ghent University, Technologiepark 914, B9052 Ghent, Belgium
3
Member Flanders Make Consortium, EEDT Core Group on Decision and Control, Technologiepark 914, B9052 Ghent, Belgium
4
OP3Mech Lab, Antwerp University, Groenenborgerlaan 171, 2020 Antwerp, Belgium
5
Department of Automation, Technical University of Cluj-Napoca, Memorandumului Street 28, 400114 Cluj-Napoca, Romania
*
Author to whom correspondence should be addressed.
Inventions 2019, 4(1), 10; https://doi.org/10.3390/inventions4010010
Received: 28 December 2018 / Revised: 4 February 2019 / Accepted: 5 February 2019 / Published: 10 February 2019
(This article belongs to the Special Issue Automatic Control and System Theory)
The advent of Industry 4.0 (I4.0) has pushed technology beyond its physical limits, making the process prone to errors and poorer performance. Whether it is about smart manufacturing where mass customization is envisaged, or collaborative human–robot engineering systems, the pyramid of process operation has changed to a matrix form and control is the backbone of all process elements. The paper gives a concise guideline as to how, when, where, and what to apply when it comes to choosing the most suitable control strategy as a function of multi-parameter objective optimization. Both proportional-integral-derivative (PID) and model predictive control (MPC) control are addressed in this context. View Full-Text
Keywords: Industry 4.0; digital control; process automation; PID control; MPC control; monitoring; performance; robustness; process control; tuning; control design; loop interaction; scalability; networked control; wireless sensors Industry 4.0; digital control; process automation; PID control; MPC control; monitoring; performance; robustness; process control; tuning; control design; loop interaction; scalability; networked control; wireless sensors
Show Figures

Figure 1

MDPI and ACS Style

Maxim, A.; Copot, D.; Copot, C.; Ionescu, C.M. The 5W’s for Control as Part of Industry 4.0: Why, What, Where, Who, and When—A PID and MPC Control Perspective. Inventions 2019, 4, 10.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop