سامانه همایش های دانشگاه آزاد اسلامی واحد نجف آباد

صفحه اصلی / ششمین کنفرانس بین المللی بهینه سازی مصرف انرژی الکتریکی

Simulation and Analysis of Energy Consumption Reduction Using Event-Triggered Fault-Tolerant Control

نویسندگان :

Fatemeh Gholami¹ Mahnaz Hashemi² Ghazanfar Shahgholian³

1- Nahafabad Branch, Islamic Azad University 2- Nahafabad Branch, Islamic Azad University 3- Nahafabad Branch, Islamic Azad University

کلمات کلیدی :

event-triggered control،fractional-order،multi-agent systems،energy improvement

چکیده :

A multi-agent system (MAS) consists of several intelligent agents that are interacting. Problems that are impossible or difficult to solve for a single agent can be solved by a multi-agent system. In this paper, a distributed neural adaptive controller system based on the event-triggered fault-tolerant control perspective is simulated. The proposed framework integrates neural networks to adaptively handle nonlinear dynamics and environmental uncer tainties, while an event-triggered mechanism minimizes commun ica tion overhead by transmitting data only when predefined thresholds are violated. A fault-tolerant strategy is embedded to detect and compensate for actuator or agent failures, ensuring robustness and continuity in mission-critical scenarios. The stability of the closed-loop system is rigorously proven using the Lyapunov theory, guaranteeing bounded tracking errors under actuator faults. Numerical simulations demonstrate the controller’s efficacy in reducing communication frequency by over 40% compared to time-triggered approaches while maintaining resilience with less than 5% performance degradation during agent failures. This approach offers a scalable and energy-resource-efficient solution for applications such as autonomous robotics, smart grids, and Load Frequency Control in Multi-Zone Power Systems where reliability and adaptive coordination are paramount.