Unmanned aerial vehicles (UAVs) are aircraft capable of flying and performing a mission without human presence on board. Initially developed as part of military activities, there is now a great potential for civil activities (surveillance, cartography...). This chapter on the dynamic analysis and QFT-based robust control design of a coaxial micro-helicopter is significant for the scientific community as it addresses a critical intersection of aerodynamics and control engineering. The paper presents the dynamic behavior of the micro-helicopter under Quantitative Feedback Theory (QFT) control, highlighting the non-linear and complex flight dynamics of autonomous air vehicles (AAVs) with rotating rings. It emphasizes the necessity of characterizing these non-linearities for each flight configuration to enable effective autonomous flight and navigation capabilities.
To tackle this complexity, the nonlinear model is linearized
around an operating point using specific assumptions, followed by the
application of a robust QFT control law to meet performance specifications. QFT
serves as a powerful design method that leverages frequency domain concepts to
manage uncertainties commonly encountered in small aerial vehicle design. The
QFT design approach involves conventional frequency response loop shaping,
manipulating gain variables in conjunction with the poles and zeros of the
nominal transfer function, with the entire process executed using MATLAB
software.
This research not only presents innovative methodologies
that enhance stability and performance in increasingly complex environments but
also lays a foundation for future studies in micro-robotics and autonomous
systems, underscoring the importance of interdisciplinary collaboration.
Personally, I appreciate the chapter for its clear articulation of theoretical
concepts alongside practical applications, making it both accessible and highly
relevant to ongoing discussions in the field. Overall, the integration of
theory and practice in this work contributes valuable insights to both academia
and industry.
Author (s) Details
Aissa Meksi
Electrical Engineering Department, Faculty of Electrical Engineering,
University of Sciences and Technology of Oran, Algeria.
Ahmed Hamida Boudinar
Electrical Engineering Department, Faculty of Electrical Engineering,
University of Sciences and Technology of Oran, Algeria.
Benatman Kouadri
Electrical Engineering Department, Faculty of Electrical Engineering,
University of Sciences and Technology of Oran, Algeria.
Please see the book here:- https://doi.org/10.9734/bpi/erpra/v1/3330
No comments:
Post a Comment