Guilherme Carvalho

Federal Center for Technological Education of Minas Gerais

Papers

Total Citations

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About

Guilherme Carvalho is a researcher specializing in autonomous systems, control theory, and unmanned aerial vehicle (UAV) technology, with a particular focus on developing intelligent control strategies for stable and reliable drone operation. His work addresses one of the most persistent challenges in robotics and aerospace engineering: achieving robust flight stability in the face of nonlinear dynamics and real-world disturbances such as wind interference. Carvalho's most influential contribution, "Fuzzy Gain-Scheduling PID for UAV Position and Altitude Controllers" (2022), has garnered 49 citations, reflecting significant community interest in his approach to automating controller tuning using fuzzy logic. Building on this, his 2021 paper on cascaded-PID gain tuning with fuzzy methods (30 citations) demonstrated practical alternatives to time-consuming manual parameter adjustment — a longstanding bottleneck in UAV deployment. More recently, his 2023 work introduced sliding mode controllers for UAVs operating in marine cargo transport scenarios, expanding the applicability of robust control methods to demanding real-world logistics environments. Together, these contributions position Carvalho as an emerging voice in intelligent UAV control, bridging theoretical control design with practical autonomous applications across industries ranging from logistics to maritime operations.