Reduced Overshoot of The Electroforming Jewellery Process Using PID
Abstract views: 78

Reduced Overshoot of The Electroforming Jewellery Process Using PID

Arie Cahyo Utomo, Ponco Siwindarto, Onny Setyawati


The electroforming jewellery is the electrodeposition process of coating metal on an insulator object to make a jewellery product. The problems are burnt and uneven results in their products, it happened because electrical currents while the process increased. So, too many metal particles attached to object. The problems of electroforming process can fix with a control system, where controller must makes constant electrical currents while the process. In this paper, the problems was changed to the equation by the polynomial regression method as a plant.  Secondly the characteristic of current sensor was  found by the linier regression method as a feedback system. The system used buck converter as the actuator, where it was written to the equation by the state space method. The controller was chosen by comparison 4 types controller, they are a conventional controller, proportional controller, proportional – integral (PI) controller, and proportional – integral – derivative (PID) controller. Xcos Scilab used to simulated the system and got the system with a proportional – integral – derivative controller is the best controller. The system with a proportional – integral – derivative controller have a Rise time 1.3687 Seconds and Overshoot 2.5420%. The result of research will be base to makes hardware system where it will help the advancement of the creative economy industry in Malang City.


Electroforming, PID Control, Xcos Scilab, State Space

Full Text:



[1] D. Sobha Jayakrishnan, “Electrodeposition: the versatile technique for nanomaterials,” Corros. Prot. Control Using Nanomater., pp. 86–125, Jan. 2012,

[2] Leslie Curtis, Electroforming Jewellery Handbooks. London: A&C Black Publisher Ltd, 2004.

[3] C.-W. Park and K.-Y. Park, “An effect of dummy cathode on thickness uniformity in electroforming process,” Results Phys., vol. 4, pp. 107–112, Jan. 2014,

[4] Y. Mahmoodi and D. Fathi, “Interaction of TM/ TE waves with graphite and MWCNT photonic crystals,” 2016, pp. 1805–1808,

[5] A. W. Cristri and R. F. Iskandar, “Analysis and Design of Dynamic Buck Converter with Change in Value of Load Impedance,” Procedia Eng., vol. 170, pp. 398–403, Jan. 2017,

[6] K. M. E. Galera and O. E. Llantos, “Mobile Web Energy Monitoring System Using DFRduino Uno,” Procedia Comput. Sci., vol. 124, pp. 706–713, Jan. 2017,

[7] E. Ostertagová, “Modelling using Polynomial Regression,” Procedia Eng., vol. 48, pp. 500–506, Jan. 2012,

[8] Y.-S. Kim, S. Seok, J.-S. Lee, S. K. Lee, and J.-G. Kim, “Optimizing anode location in impressed current cathodic protection system to minimize underwater electric field using multiple linear regression analysis and artificial neural network methods,” Eng. Anal. Bound. Elem., vol. 96, pp. 84–93, Nov. 2018,

[9] D. Ibrahim, “Intermediate Level Projects,” Arm-Based Microcontroller Proj. Using Mbed, pp. 135–259, Jan. 2019,

[10] F. Schultheis and D. Maksimovic, “Modeling and control of a step-down composite DC-DC converter,” 2015, pp. 1–6,

[11] M. H. Rashid, A. A. Abu-aisheh, and M. G. Batarseh, “DC–DC converters,” Electr. Renew. Energy Syst., pp. 337–353, Jan. 2016,

[12] V. I. Rudnev and D. Loveless, “Induction Hardening: Technology, Process Design, and Computer Modeling,” Compr. Mater. Process., pp. 489–580, Jan. 2014,

[13] Z. Magyar and K. Žáková, “SciLab Based Remote Control of Experiments,” IFAC Proc. Vol., vol. 45, no. 11, pp. 206–211, Jan. 2012,

[14] T. Uriča and A. Simonová, “Simulation of an on-off Controller for Systems of Second Order with the Use of LabVIEW,” Procedia Eng., vol. 192, pp. 905–910, Jan. 2017,

[15] P. F. Stanbury, A. Whitaker, S. J. Hall, P. F. Stanbury, A. Whitaker, and S. J. Hall, “Instrumentation and control,” Princ. Ferment. Technol., pp. 487–536, Jan. 2017,

[16] S.-H. Kim, “Control of direct current motors,” Electr. Mot. Control, pp. 39–93, Jan. 2017,

[17] W. Bolton, “Process Controllers,” Instrum. Control Syst., pp. 99–121, Jan. 2015,

[18] P. Bajpai, “Process Control,” Biermann’s Handb. Pulp Pap., pp. 483–492, Jan. 2018,

[19] K. L. S. Sharma, “Automation Strategies,” Overv. Ind. Process Autom., pp. 53–74, Jan. 2017,

[20] M. Krarti, “Control Strategies for Building Energy Systems,” Optim. Des. Retrofit Energy Effic. Build. Communities, Urban Centers, pp. 117–187, Jan. 2018,

[21] X.-S. Yang, “Laplace Transforms,” Eng. Math. with Examples Appl., pp. 187–198, Jan. 2017,

[22] V. Magnasco, “Special functions,” Elem. Mol. Quantum Mech., pp. 151–214, Jan. 2013,

[23] Y. Bavafa-Toosi and Y. Bavafa-Toosi, “Root locus,” Introd. to Linear Control Syst., pp. 377–467, Jan. 2017,

[24] M. A. Haidekker, “The Root Locus Method,” Linear Feed. Control., pp. 175–191, Jan. 2013,

[25] A. Visioli, M. S. Fadali, and A. Visioli, “Analog Control System Design,” Digit. Control Eng., pp. 127–164, Jan. 2013,


  • There are currently no refbacks.

Indexed by: 


Referencing Software:

Checked by:

Supervised by:


View My Stats

Creative Commons License Kinetik : Game Technology, Information System, Computer Network, Computing, Electronics, and Control by is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.