Mohamed Riad Youcefi , Farouk Said Boukredera , Vahid Vaziri , Sumeet S. Aphale
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引用次数: 0
Abstract
This paper aims to develop a robust controller capable of suppressing stick-slip oscillations. To achieve this goal, metaheuristic optimization algorithms, including Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), and Differential Evolution (DE), were integrated with Modified Integral Resonant Control (MIRC) to create a novel hybrid MIRC. Several simulation runs were conducted to investigate the robustness of the hybrid MIRC in automatically responding to disturbances. The results indicated that PSO outperforms the ABC and DE algorithms in the expeditious determination of optimal controller parameters. Additionally, simulation results demonstrated the robustness of the proposed PSO-MIRC in adeptly identifying key control parameters that suppress stick-slip vibrations within a succinct timeframe. The findings of this paper offer a promising tool for ensuring the stability of the drill-string.
期刊介绍:
The Journal of Sound and Vibration (JSV) is an independent journal devoted to the prompt publication of original papers, both theoretical and experimental, that provide new information on any aspect of sound or vibration. There is an emphasis on fundamental work that has potential for practical application.
JSV was founded and operates on the premise that the subject of sound and vibration requires a journal that publishes papers of a high technical standard across the various subdisciplines, thus facilitating awareness of techniques and discoveries in one area that may be applicable in others.