An Intelligent Control Approach for Designing a Low Voltage DC Breaker

This paper presents an approach for designing an Intelligent Low Voltage DC Breaker (ILVDCB) using solid-state elements as its power components and an embedded processor for implementing control algorithms that command triggering of thyristors. A simplified model for arc voltage is used for designing the control strategies. Intelligent control algorithms such as Knowledge Based Fuzzy Control (KBFC), Neural Control and Adaptive Neuro-Fuzzy Inference System (ANFIS) Controller are presented. Details on design and implementation in Matlab are discussed, as well as results and comparisons on the performance of every system.