  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
