Fourier series-based algorithm for control optimization in pendulum capsule drive: an integrated computational and experimental study
Sandra Zarychta, Marek Balcerzak, Katarzyna Wojdalska, Rafa{\l} Dolny,, Jerzy Wojewoda

TL;DR
This study develops and experimentally validates a Fourier series-based control optimization algorithm for pendulum capsule drives, demonstrating improved speed and accuracy in prototype systems with potential applications in medical and inspection devices.
Contribution
The paper introduces a novel Fourier series-based greedy algorithm for control optimization in pendulum capsule drives, validated through experimental prototype testing.
Findings
Achieved average speeds of 2.48 cm/s and 2.58 cm/s with three and six harmonics.
Experimental results closely match numerical simulations (<2% loss).
High signal-tracking accuracy demonstrated resilience to disturbances.
Abstract
Pendulum-driven systems have emerged as a notable modification of vibro-impact mechanisms, replacing the conventional mass-on-spring oscillator with a pendulum. Such systems exhibit intricate behavior resulting from the interplay of directional dynamics, pendulum motion, and contact forces between the designed device and the underlying surface. This paper delves into the application of a Fourier series-based greedy algorithm for control optimization in pendulum capsule drives, which hold potential for diverse scenarios, including endoscopy capsule robots, pipeline inspection, and rescue operations in confined spaces. The emphasis is placed on experimental studies involving prototype development to validate the system's efficacy with previous computational simulations. Empirical findings closely align (<2% loss) with numerical investigations, showcasing the pendulum capsule drive's…
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Taxonomy
TopicsIterative Learning Control Systems · Tribology and Lubrication Engineering
