Journal of Electrical Engineering and Automation

Optimized design of automated control systems is a key factor in improving the operational efficiency and intelligence level of mechanical and electrical engineering. By focusing on the core objective of enhancing system performance, this work examines the development history and current applications, revealing existing shortcomings in dynamic response speed and energy utilization efficiency. An optimization model based on intelligent algorithms is proposed. The optimized is validated through simulation and experimental methods. Results show that the optimized system demonstrates significant improvements in response characteristics, control accuracy, and energy consumption management. This study provides theoretical support and technical approaches for achieving efficient and stable operation in modern mechanical and electrical systems.

Mechanical and electrical engineering; Automated control; System optimization; Intelligent algorithms; Control strategies