Active fault tolerant control on multi-rotor UAVs using ELM-based neuro-fuzzy system

• Main Authors: Thanaraj, T., Ng, Bing Feng, Low, Kin Huat
• Other Authors: School of Mechanical and Aerospace Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2022
• Subjects: Engineering::Aeronautical engineering::Flight simulation; Engineering::Electrical and electronic engineering::Control and instrumentation::Control engineering; Fault Tolerant Control; Quadrotor UAV; Neuro-Fuzzy System; Extreme Learning Machine
• Online Access: https://hdl.handle.net/10356/160597
• Institution: Nanyang Technological University

Multi-rotor UAVs have been used prevalently for a multitude of purposes and the reliability of these UAVs has to be ensured to enable safe operations, especially in urban airspace. Hence, an accurate and efficient fault tolerant control strategy is essential to actively detect hardware faults and pe...