![]() ![]() ![]() This study proposes the use of fuzzy sliding mode control technology for state control of a gyroscope system. Li and Kumar proposed the application of nonsingular fast terminal sliding mode control technology in satellite attitude synchronization. proposed the use of sliding mode control technology to solve finite-time chaos synchronization problems by enabling synchronization of two different chaotic systems with unknown parameters. used particle swam optimization (PSO) algorithm to find close optimal parameters for PID control and used a PID controller for chaos synchronization control. Chaos control has attracted the attention of many scholars in recent years. based the adaptive sliding mode control on a radial basis function neural network for three-axis gyroscope used in micro electromechanical systems (MEMS). Ge and Lee used the Lyapunov stability theory and adaptive control and random optimization method to synchronize two identical gyroscope systems and to track system parameters. They also proposed the use of a sliding mode controller to stabilize the system and to change its state from chaotic-driven motion to periodic motion. Wang and Yau used differential transformation (DT) method and Runge-Kutta (RK) method to analyze the dynamic behavior of the gyroscope system. According to certain conditions generate chaotic behavior in a gyroscope system, which results in system instability and design problems. Its main feature is that different initial conditions can produce large differences in the system response. The chaos phenomenon has been widely discussed and researched after many areas, including mechanical engineering, electrical engineering, and communications. ![]() Some systems exhibit chaotic phenomena after a certain number of intervals. Since most systems in the natural world are nonlinear, presenting them in a linear manner is challenging. The numerical simulation results confirm that the proposed controller provides good system stability and convergence without chattering phenomena. Consequently, the gyroscope system drives from chaotic motion to periodic motion. The current study discussed the use of tracking control on the sliding mode control and fuzzy sliding mode control of a gyroscope control system. The state response analysis of the gyroscope system revealed highly nonlinear and chaotic subharmonic motions of during state formation. The study proposed the application of the fuzzy sliding mode for a gyroscope system status control. ![]()
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