Comparative Analysis of Integer and Fractional PID for Power Regulation Integrated in an Electrosurgical Generator | ||
| Kerbala Journal for Engineering Sciences | ||
| Article 9, Volume 1, Issue 2, December 2021, Pages 233-251 PDF (1.52 M) | ||
| Document Type: Research Article | ||
| Authors | ||
| Hussban Sabera1; Ali Mahdi* 2; Manal Hussein Nawir2 | ||
| 1Department of Electrical and Electronics Engineering, University of Kerbala, Karbala, Iraq | ||
| 2Department of Electrical and Electronics Engineering, University of Kerbala, Karbala, Iraq. | ||
| Abstract | ||
| The electrosurgical generator (ESG) unit must be adapted to satisfy tissue impedance unpredictability while supplying power. The body's impedance changes complicate power supply and voltage control. ESG relies on output power in the constant power range. This study's goal is to supply active power that varies with tissue impedance. The impedance tissues are represented as a parallel RC circuit with three models (Child, Male, and Female). To enhance ESGs performance, integer-order PID (IO-PID) and fractional order PID (FO-PID) controllers are designed for controlling the output power and voltage. The particle swarm optimization (PSO) method is used to optimize IO-PID and FO-PID controllers’ gains. Two control systems are compared in terms of overshot, undershot, rise and settling times, and steady-state error. It is concluded that FO-PID-based ESG is more robust and efficient compared with IO-PID-based ESG. | ||
| Keywords | ||
| electrosurgical generator; bio-impedance tissue; integer order-PID; fractional order-PID; Particle swarm optimization | ||
| References | ||
|
[1] M. A. K. El-Shafei, M. I. El-Hawwary, and H. M. Emara, “Implementation of fractional-order PID controller in an industrial distributed control system,” in 2017 14th International Multi-Conference on Systems, Signals and Devices, SSD 2017, Dec. 2017, vol. 2017-January, pp. 713–718. doi: 10.1109/SSD.2017.8167004.
[2] Z. Bingul and O. Karahan, “Comparison of PID and FOPID controllers tuned by PSO and ABC algorithms for unstable and integrating systems with time delay,” Optimal Control Applications and Methods, vol. 39, no. 4, pp. 1431–1450, Jul. 2018, doi: 10.1002/oca.2419.
[3] A. A. Dastjerdi, N. Saikumar, and S. H. HosseinNia, “Tuning guidelines for fractional order PID controllers: Rules of thumb,” Mechatronics, vol. 56, pp. 26–36, Dec. 2018, doi: 10.1016/j.mechatronics.2018.10.004.
[4] M. Zamani, M. Karimi-Ghartemani, N. Sadati, “FOPID Controller Design for Robust Performance Using Particle Swarm Optimization,” Japanese J. Gastroenterol. Surg., vol. 30, no. 6, pp. 1391–1425, 1997, doi: 10.5833/jjgs.30.1391.
[5] S. Fahad, N. Ullah, A. J. Mahdi, and N. Ullah, “A new robust closed-loop control system for electrosurgical generators,” Research on Biomedical Engineering, vol. 36, no. 3, pp. 213–224, Sep. 2020, doi: 10.1007/s42600-020-00062-y.
[6] A. M. Ridha, A. J. Mahdi, J. K. Abed, and S. Fahad, “PID fuzzy control applied to an electrosurgical unit for power regulation,” Journal of Electrical Bioimpedance, vol. 11, no. 1, pp. 72–80, Jan. 2020, doi: 10.2478/joeb-2020-0011.
[7] S. NasimUllah, M. M. Rafiq, M. Ishfaq, M. Ali, A. Ibeas, and J. Herrera, “A closed loop robust control system for electrosurgical generators,” in Control Applications for Biomedical Engineering Systems, Elsevier Inc., 2020, pp. 149–168. doi: 10.1016/B978-0-12-817461-6.00006-8.
[8] H. Saber, A. Jafer Mahdi, M. Hussein Nawir, S. Fahad, M. Shahzad Nazir, and A. Goudarzi, “Status: In Production Title: Investigation and Testing of High-Frequency open-loop Electrosurgical Generator under Varying Bio-tissue Impedances.”
[9] V. T. Tomov, “Modern Advances in Energy Based Electrosurgical Devices.” [Online]. Available: https://www.researchgate.net/publication/328773030
[10] S. Aminimoghaddam, R. Pahlevani, and M. Kazemi, “Electrosurgery and clinical applications of electrosurgical devices in gynecologic procedures,” Medical Journal of the Islamic Republic of Iran, vol. 32, no. 1. Iran University of Medical Sciences, pp. 1–6, 2018. doi: 10.14196/mjiri.32.90.
[11] K. Charoenkwan, Z. Iheozor-Ejiofor, K. Rerkasem, and E. Matovinovic, “Scalpel versus electrosurgery for major abdominal incisions,” Cochrane Database of Systematic Reviews, vol. 2017, no. 6, Jun. 2017, doi: 10.1002/14651858.CD005987.pub3.
[12] F. C. Meeuwsen, A. C. P. Guédon, E. A. Arkenbout, M. van der Elst, J. Dankelman, and J. J. van den Dobbelsteen, “The Art of Electrosurgery: Trainees and Experts,” Surgical Innovation, vol. 24, no. 4, pp. 373–378, Aug. 2017, doi: 10.1177/1553350617705207.
[13] M. Dulǎu, A. Gligor, and T. M. Dulǎu, “Fractional Order Controllers Versus Integer Order Controllers,” in Procedia Engineering, 2017, vol. 181, pp. 538–545. doi: 10.1016/j.proeng.2017.02.431.
[14] S. Fahad, N. Ullah, A.J. Mahdi, A. Ibeas, A. Goudarzi “An Advanced Two-Stage Grid Connected PV System: A Fractional-Order Controller,” 2019.
[15] A. T. Mohamed, M. F. Mahmoud, R. A. Swief, L. A. Said, and A. G. Radwan, “Optimal fractional-order PI with DC-DC converter and PV system,” Ain Shams Engineering Journal, vol. 12, no. 2, pp. 1895–1906, Jun. 2021, doi: 10.1016/j.asej.2021.01.005.
[16] J. Zhong and L. Li, “Tuning fractional-order PIλ Dμ controllers for a solid-core magnetic bearing system,” IEEE Transactions on Control Systems Technology, vol. 23, no. 4, pp. 1648–1656, Jul. 2015, doi: 10.1109/TCST.2014.2382642.
[17] D. Wang, D. Tan, and L. Liu, “Particle swarm optimization algorithm: an overview,” Soft Computing, vol. 22, no. 2, pp. 387–408, Jan. 2018, doi: 10.1007/s00500-016-2474-6.
[18] S. Fahad, A. J. Mahdi, W. H. Tang, K. Huang, and Y. Liu, “Particle Swarm Optimization Based DC-Link Voltage Control for Two Stage Grid Connected PV Inverter,” in 2018 International Conference on Power System Technology, POWERCON 2018 - Proceedings, Jan. 2019, pp. 2233–2241. doi: 10.1109/POWERCON.2018.8602128.
[19] A. J. Mahdi, W. H. Tang, and Q. H. Wu, “Parameter Identification of a PMSG Using a PSO Algorithm Based on Experimental Tests.” | ||
|
Statistics Article View: 266 PDF Download: 184 |
||