Development of PLC and SCADA based Integrated Thermal Control System with Self/Auto-tuning Feature
Abstract
The paper represents the implementation of a closed loop control system having a PID control. The parameter has been tuned accordingly to implement the control which has been achieved via PLC incorporating the auto-tuning feature. SCADA ensures the supervision of the feedback or closed loop control system. The proportional-integral-derivative or PID controller used has self or Auto tuning feature. A ladder logic solver acts as a temperature control unit having special Input -Output which performs PID control with 2 degrees of freedom resulting output through the open collector. Temperature control is quite challenging by the use of conventional control techniques, hence the purpose of the paper is to implement PID control based on programmable logic controller (PLC) ladder logic solver (LLS) to control the time to heat up any particular plant system ranging from storage tanks in industries to incubator or food and other medical use or even in the field of reliability engineering to a desired temperature with a precise efficiency. The PLC under operation is OMRON CJIM-CPU22 as the temperature control unit along with Citect SCADA for supervision of the plant forms the crucial parts in this research. Supervisory Control and Data Acquisition (SCADA) is a collaborated software and hardware system element that finds its applications prevent in numerous industrial processes among which medical applications, food industry, power distribution, and mining sectors are the most popular ones. The use of SCADA systems here is for data acquisition and regulation of the temperature of control components. This paper aims to validate a small scale application of the developed PLC and SCADA based integrated thermal control system using Citect SCADA. Hence, monitoring and regulating the temperature of thermal process hardware has been implemented in this work. The outcome clearly manifests the SCADA control system is successfully developed by using the Citect SCADA software by Schneider Electric v 7.3.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Segmenting HMIs, historians, engineering workstations, and PLC racks into discrete zones reduces attack propagation and constrains lateral movement once an adversary achieves an initial foothold.
“Empirical analyses show that segmenting HMIs, historians, engineering workstations, and PLC racks into discrete zones reduces attack propagation and constrains lateral movement once an adversary achieves an initial foothold.”
From ADAPTING PLC/SCADA SYSTEMS TO MITIGATE INDUSTRIAL IOT CYBERSECURITY RISKS IN GLOBAL MANUFACTURING (2024) · cites this paper as Al Yusuf, 2018
Cited by
Sorted by citations
ADAPTING PLC/SCADA SYSTEMS TO MITIGATE INDUSTRIAL IOT CYBERSECURITY RISKS IN GLOBAL MANUFACTURING
Phillip M. Drayer Department of Electrical Engineering, L. U., Tarek, J. H., Hasan, Z., & Master in Electrical and Electronics Engineering, C. O. E. (2024) · American Journal of Interdisciplinary Studies · doi:10.63125/0v4cms60 · Cited by 1 · see citing works
- Authors
- Al Yusuf, S.
- Venue
- 2018 Condition Monitoring and Diagnosis (CMD)
- Publisher
- IEEE
- Published
- 2018-09
- Pages
- 1-6
- OpenAlex
- W2901129391
- Cited by
- 7
- References
- 0
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 1 · 2023: 1 · 2022: 2 · 2021: 1
- FWCI
- 0.38
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- 2018 Condition Monitoring and Diagnosis (CMD) (publishedVersion)
- Funders
- Curtin University of Technology
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Industrial Automation and Control Systems
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Control Systems Design
- Physical Sciences › Engineering › Control and Systems Engineering › Advanced Sensor and Control Systems
- Keywords
- PID control, auto-tuning, programmable logic controller, SCADA, temperature control, ladder logic, feedback control, two-degree-of-freedom control, industrial process monitoring
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review