An Enhanced Architecture and Modularisation Strategies in Distributed Electronic Systems
Bing Xie
Journal of Electronic Systems, Vol. 15, No. 4, 2025.
DOI: https://doi.org/10.6025/jes/2025/15/4/195-202
Link: https://www.dline.info/jes/fulltext/v15n4/jesv15n4_2.pdf
Abstract:
The paper investigates the modular architecture of distributed electrical control systems to enhance their
performance, reliability, and scalability. Unlike traditional centralized control systems, distributed systems
divide control tasks among independent modules such as data acquisition, communication, and distributed
control offering greater flexibility for complex industrial applications. The author reviews prior work in
modular design techniques, communication technologies (e.g., Ethernet and wireless networks), and data
processing methods, highlighting ongoing challenges in real time performance and system reliability. The
study proposes a distributed design framework that integrates modularization strategies with optimized
communication protocols and data transmission approaches. It also explores the application of intelligent
algorithms including Support Vector Machines, neural networks, fuzzy logic, and data mining for system
classification and pattern recognition. Experimental validation is conducted in real world engineering contexts,
demonstrating improved voltage regulation, system stability, and classification accuracy. Results from
iterative testing show effective convergence and enhanced model performance (e.g., RÃ‚Â² = 0.7237 in biomass
estimation tasks). The paper concludes that thoughtful module design significantly boosts system effectiveness
and provides practical guidance for engineering implementations. However, the author acknowledges
remaining challenges and calls for further refinement of classification algorithms and experimental
methodologies to ensure robustness and adaptability across diverse industrial environments.