Work

Innovative Control Techniques for Enhancing Signal Quality in Power Applications: Mitigating Electromagnetic Interference

Year: 2025

Type: article

Abstract: Electromagnetic interference (EMI) remains a difficult task in the design and operation of contemporary power electronic systems, especially in those applications where signal quality has a direct impact on the overall performance and efficiency. Conventional control schemes that have evolved to counteract the effects of EMI generally tend to have greater design complexity, greater error rates, poor control accuracy, and large amounts of harmonic distortion. In order to overcome these constraints, this paper introduces an intelligent and advanced control approach founded on the signal randomization principle. The suggested approach controls the switching activity of a DC–DC converter by dynamically tuned parameters like duty cycle, switching frequency, and signal modulation. A boost interleaved topology is utilized to maximize the current distribution and minimize ripple, and an innovative space vector-dithered sigma delta modulation (SV-DiSDM) scheme is proposed for cancelling harmonics via a digitalized control action. The used modulation scheme can effectively distribute the harmonic energy across a larger range of frequencies to largely eliminate EMI and boost the stability of the system. High-performance analysis is conducted by employing significant measures like total harmonic distortion (THD), switching frequency deviation, switching loss, and distortion product. Verification against conventional control models confirms the increased efficiency, less EMI, and greater signal integrity of the proposed method, and hence, it can be a viable alternative for EMI-aware power electronics applications.

Source: Algorithms

DOI: 10.3390/a18050288

Authors: N. Manoj Kumar, Yousef Farhaoui, R. Vimala, M. Anandan, M. Aiswarya, A. Radhika

Institutions: Université Moulay Ismail de Meknes, Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and Technology, Karpagam Academy of Higher Education

Language: English

Topic: Electromagnetic Compatibility and Noise Suppression

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: gold

Estimated APC paid: $1,930