Sage Journals: Discover world-class research

Abstract

The paper aims to enhance the controllability of a standalone cascade control system with Internet architecture and promote the system to be accessible by remote students. The user interactive web page is developed by using platform independent ASP.NET language and enabled with both monitoring and controlling functionalities. The Internet transmission time delays that are associated with both feed-forward and feedback channels are compensated by using model predictive controller. The performance of cascade control system with and without compensation is validated by measuring indices, such as rise time, peak time and settling time, and also integral square error and integral absolute error. Access privileges among web page users have been added to ensure simultaneous operations as well as security. The cascade control system is an engineering laboratory experiment interfaced with a dedicated computer by using MODBUS protocol and it is made available to the remote students. The user perception analysis is carried out by using a set of questionnaire that observes 85% of positive feedback.

Keywords

Internet cascade control system time delay compensation remote laboratory experiment web interface

Get full access to this article

View all access options for this article.

References

Galloway

Hancke

GP.

Introduction to industrial control networks. IEEE Commun Surv Tutor 2013; 15: 860–880.

Altun

Topaloglu

Saygin

, et al. Process control via internet. J Integr Des Process Sci 2001; 5: 111–122.

Zermane

Mouss

Development of an internet and fuzzy based control system of manufacturing process. Int J Autom Comput 2017; 14: 706–718.

Xia

Gao

Yan

, et al. Recent progress in networked control systems: a survey. Int J Autom Comput 2015; 12: 343–367.

Fitzpatrick

Battilocchio

Ley

SV.

A novel internet-based reaction monitoring, control and autonomous self-optimization platform for chemical synthesis. Org Process Res Dev 2016; 20: 386–394.

Shuanghua

Liansheng

Guo-Ping

Architecture design for internet-based control systems. Int J Autom Comput 2004; 1: 1–9.

I-Hai Lin

Lin

Design and implementation of an Internet-based virtual lab system for e-learning support. In: Proceedings of fifth IEEE international conference on advanced learning technologies, 2005, pp. 295–296.

Li Lian

Moyne

Tilbury

Network design considerations for distributed control systems. IEEE Trans Control Syst Technol 2002; 10: 297–307.

Shuang

HY.

Internet-based control systems design and applications. London: Springer-Verlag, 2011.

10.

Levine

WS.

The control handbook. Boca Raton, FL: CRC Press, 1996.

11.

Yang

Chen

Tan

, et al. Time delay and data loss compensation for Internet-based process control systems. Trans Inst Meas Control 2005; 27: 103–118.

12.

Liu

Xia

Rees

Predictive control of networked systems with random delays. In: Proceedings of 16th IFSC world congress, We-M15-TO/2, 2005.

13.

Sangeetha

Bharathi

Ganesh

, et al. Particle swarm optimization tuned cascade control system in an Internet of Things (IoT) environment. Measurement 2018; 117: 80–89.

14.

Vargas

Sanchez Moreno

Jara

, et al. A network of automatic control web-based laboratories. IEEE Trans Learn Technol 2011; 4: 197–208.

15.

Vargas

Farias

Sanchez

, et al. Using Augmented Reality in Remote Laboratories. Int J Comput Commun. 2013; 8: 622–634.

16.

de la Torre

Heradio

Jara

, et al. Providing collaborative support to virtual and remote laboratories. IEEE Trans Learn Technol 2013; 6: 312–323.

17.

Valera

Jose

Valles

, et al. Virtual and remote control laboratory development. IEEE Control Syst 2005; 25: 35–39.

18.

Domingues

Rocha

Dourado

, et al. Virtual laboratories in (bio)chemical engineering education. Educ Chem Engrs 2010; 5: e22–e27.

19.

Fountain

History of instrumentation. In: Boyes

(ed.) Instrumentation reference book. 3rd ed. Oxford: Butterworth-Heinemann, 2003.

20.

Viegas

Pavani

Lima

, et al. Impact of a remote lab on teaching practices and student learning. Comput Educ 2018; 126: 201–216.

21.

Grodotzki

Ortelt

Tekkaya

AE.

Remote and virtual labs for engineering education. Procedia Manuf 2018; 26: 1349–1360.

22.

Heradio

de la Torre

Dormido

Virtual and remote labs in control education: a survey. Annu Rev Control 2016; 42: 1–10.

23.

González

Calderón

Mejías

, et al. Novel networked remote laboratory architecture for open connectivity based on PLC-OPC-LabVIEW-EJS integration: application to remote fuzzy control and sensors data acquisition. Sensors 2016; 16: 1822.

24.

Chevalier

Copot

Ionescu

, et al.. A three-year feedback study of a remote laboratory used in control engineering studies. IEEE Trans Educ 2017; 60: 127–133.

25.

Aydogmus

A web-based educational tool using programmable logic controller-connected MATLAB-OPC server. Int J Electric Eng Educ 2015; 52: 71–80.

26.

Sangeetha

Kumar

Ganesh

, et al. Experimental validation of PID based cascade control system through SCADA-PLC-OPC and Internet architectures. Measurement 2012; 45: 643–649.

27.

Ang

Chong

PID control system analysis, design, and technology. IEEE Trans Control Syst Technol 2005; 13: 559–576.

28.

Wayne Bequette

Process control: modeling, design and simulation. New York: Pearson Education, 2003

29.

Bolton

Programmable logic controllers. 5th ed. Oxford: Newnes, 2009.

30.

Joshi

Kale

Chandel

, et al. Likert scale: explored and explained. Br J Appl Sci Technol 2015; 7: 396–403.

Internet-mediated automation of a cascade control system-an Engineering laboratory experiment

Abstract

Keywords

Get full access to this article

References