Review on System Identification and Mathematical Modeling of Flapping Wing Micro-Aerial Vehicles

Featured Application The paper provides a comprehensive review on various system identification and modeling techniques for flapping wing micro-aerial vehicles (FWMAVs) that will be useful for researchers in order to obtain mathematical modeling of FWMAVs. This paper presents a thorough review on the system identification techniques applied to flapping wing micro air vehicles (FWMAVs). The main advantage of this work is to provide a solid background and domain knowledge of system identification for further investigations in the field of FWMAVs. In the system identification context, the flapping wing systems are first categorized into tailed and tailless MAVs. The most recent developments related to such systems are reported. The system identification techniques used for FWMAVs can be classified into time-response based identification, frequency-response based identification, and the computational fluid-dynamics based computation. In the system identification scenario, least mean square estimation is used for a beetle mimicking system recognition. In the end, this review work is concluded and some recommendations for the researchers working in this area are presented.

Automated summary

This paper provides a comprehensive review on system identification techniques for flapping wing micro aerial vehicles (FWMAVs), categorizing them into tailed and tailless MAVs and discussing the most recent developments. Different techniques such as time-response, frequency-response, and computational fluid-dynamics based computation are used for FWMAVs, with the application of least mean square estimation for system recognition. The paper concludes with recommendations for researchers in this field.