Energy-Efficient Industrial Automation using Low-Power Embedded Platforms and Adaptive Control Algorithms
Authors : Ankush M. Gund, Gajanan M. Malwatkar
DOI :10.46335/IJIES.2025.10.10.2
Abstract– Energy efficiency is crucial in industrial automation, especially for small- and medium-sized enterprises (SMEs). Traditional platforms are heavy in computational and power requirements, making them limited in scalability and application in resource-constrained environments. This paper proposes a new energy-efficient industrial automation system using low-energy embedded architectures like Raspberry Pi 4 and ESP32, with an adaptive control strategy. The framework uses Adaptive PID and Fuzzy Logic Controllers (FLC) to adjust control parameters based on real-time system and changing loads, ensuring stability and low energy consumption costs. The architecture is implemented in Python with low-level libraries and executed directly on embedded platforms to reduce overheads.
