Expert knowledge-based peak current mode control of electrosurgical generators for improved output power regulation

Muhammad Mohsin Rafiq; Asier Ibeas; Nasim Ullah

doi:10.2478/joeb-2023-0005

Expert knowledge-based peak current mode control of electrosurgical generators for improved output power regulation

J Electr Bioimpedance. 2023 Nov 17;14(1):32-46. doi: 10.2478/joeb-2023-0005. eCollection 2023 Jan.

Authors

Muhammad Mohsin Rafiq¹, Asier Ibeas², Nasim Ullah^{1

3}

Affiliations

¹ Electrical Engineering, CECOS University of IT & Emerging Sciences, Peshawar, Pakistan.
² Dept. of Telecomm. and Systems Eng., Faculty of Engineering, Universitat Autònoma de Barcelona, Barcelona, Spain.
³ Department of Electrical Engineering, College of Engineering, Taif University Taif Saudi Arabia nasimullah@tu.edu.sa.

Abstract

Electrosurgical generators (ESG) are widely used in medical procedures to cut and coagulate tissue. Accurate control of the output power is crucial for surgical success, but can be challenging to achieve. In this paper, a novel expert knowledge-based peak current mode controller (EK-PCMC) is proposed to regulate the output power of an ESG. The EK-PCMC leverages expert knowledge to adapt to changes in tissue impedance during surgical procedures. We compared the performance of the EK-PCMC with the classical peak current mode controller (PCMC) and fuzzy PID controller. The results demonstrate that the EK-PCMC significantly outperformed the PCMC, reducing the integral square error (ISE) and integral absolute error (IAE) by a factor of 3.88 and 4.86, respectively. In addition, the EK-PCMC outperformed the fuzzy PID controller in terms of transient response and steady-state performance. Our study highlights the effectiveness of the proposed EK-PCMC in improving the regulation of the output power of an ESG and improving surgical outcomes.

Keywords: Electro-surgery; Expert knowledge control; Peak current mode control; tissue burning; tissue impedance.