Synchronization and Control of Chaotic Spur Gear System Using Type-II Fuzzy Controller Optimized via Whale Optimization Algorithm

TL;DR

This paper introduces a Type-II Fuzzy Controller optimized with Whale Optimization Algorithm to effectively synchronize and control a chaotic spur gear system, demonstrating superior performance under various conditions.

Contribution

It presents a novel control approach combining Type-II Fuzzy Logic and Whale Optimization Algorithm for chaotic gear systems, enhancing adaptability and control accuracy.

Findings

The proposed controller achieves high synchronization accuracy.

It outperforms traditional control methods in chaotic system regulation.

The system maintains robustness under uncertainties.

Abstract

Interval type-II Fuzzy Inference System (FIS) assumes a crucial role in determining the coefficients of the PID controller, thereby augmenting the controller's flexibility. Controlling chaotic systems presents inherent challenges and difficulties due to their sensitivity to initial conditions and the intricate dynamics that require precise and adaptive control strategies. This paper offers an exhaustive exploration into the coordination and regulation of a chaotic spur gear system, employing a Type-II Fuzzy Controller. The initial control parameters of the PID controller undergo optimization using the Whale Optimization Algorithm (WOA) to increase the overall system performance. The adaptability and strength of the suggested control system are tested in various scenarios, covering diverse reference inputs and uncertainties. The investigation comprehensively assesses the operational efficacy of the formulated controller, contrasting its performance with other methodologies. The outcomes highlight the impressive efficiency of the suggested strategy, confirming its supremacy in attaining synchronization and control within the turbulent spur gear system under demanding circumstances