2018/02/04 by Md Meftahul Ferdaus, Sreenatha G. Anavatti, Ferdaus, Md Meftahul +5
Engineering · Environmental Science · #Biomimetic flight and propulsion mechanisms #FOS: Electrical engineering #Systems and Control (eess.SY) #Underwater Vehicles and Communication Systems #Water Quality Monitoring Technologies #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1802.01262
openalex publication_date 2018/02/04 · openalex created_date 2022/10/04 · openalex updated_date 2026/07/28
Advanced and accurate modelling of a Flapping Wing Micro Air Vehicle (FW MAV)\nand its control is one of the recent research topics related to the field of\nautonomous Unmanned Aerial Vehicles (UAVs). In this work, a four wing\nNatureinspired (NI) FW MAV is modeled and controlled inspiring by its advanced\nfeatures like quick flight, vertical take-off and landing, hovering, and fast\nturn, and enhanced manoeuvrability when contrasted with comparable-sized fixed\nand rotary wing UAVs. The Fuzzy C-Means (FCM) clustering algorithm is utilized\nto demonstrate the NIFW MAV model, which has points of interest over first\nprinciple based modelling since it does not depend on the system dynamics,\nrather based on data and can incorporate various uncertainties like sensor\nerror. The same clustering strategy is used to develop an adaptive fuzzy\ncontroller. The controller is then utilized to control the altitude of the NIFW\nMAV, that can adapt with environmental disturbances by tuning the antecedent\nand consequent parameters of the fuzzy system.\n