Six degree of freedom quadcopter stabilization using self adaptive bonobo Pareto multi objective FLC with processor in the loop validation.

ABSTRACT: This paper introduces a comprehensive and modular control strategy for a quadcopter employing six decoupled fuzzy logic controllers, each dedicated to controlling one degree of freedom: roll, pitch, yaw, altitude, and horizontal positions (x, y). The key novelty of this work lies in the integration of a novel multi-objective Self-Adaptive Bonobo optimizer to optimize eighteen controller gains simultaneously, leveraging Pareto-front principles for the first time in this context to effectively balance tracking accuracy with control effort. The proposed controllers robustly handle the nonlinear and coupled dynamics of the quadcopter while maintaining resilience against disturbances and model uncertainties. The obtained results validate the efficacy of this approach, demonstrating significant

SUBMITTER: Benhammou A 

PROVIDER: S-EPMC12623842 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature