Journal of Electronic Systems Bing Xie 15 4 2025 https://doi.org/10.6025/jes/2025/15/4/195-202 https://www.dline.info/jes/fulltext/v15n4/jesv15n4_2.pdf 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., R² = 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.