2010Unpublished venueRequires access

Robust adaptive synchronization of a class of uncertain non-smooth-air-gap PMSM chaotic systems

Dan Zhao, Weihua Tian, Tianlong Zhang, Heli Hu

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Abstract

This paper considers the synchronization problem of a class of non-smooth-air-gap PMSM chaotic systems with unknown parameters. Based on the adaptive control idea, a new adaptive controller is implemented to synchronize the uncertain PMSM chaotic system. By denoting the synchronization error signal as the difference between the drive system and the response system, the synchronization error system is derived. The asymptotic stability of the zero equilibrium point for the synchronization error system is proved via Lyapunov stability theory. Simulation study is carried out to verify the effectiveness of the proposed chaotic synchronization method.

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What this paper is about

This paper considers the synchronization problem of a class of non-smooth-air-gap PMSM chaotic systems with unknown parameters. Based on the adaptive control idea, a new adaptive controller is implemented to synchronize the uncertain PMSM chaotic system. By denoting the synchronization error signal as the difference between the drive system and the response system, the synchronization error system is derived. The asymptotic stability of the zero equilibrium point for the synchronization error system is proved via Lyapunov stability theory. Simulation study is carried out to verify the effectiveness of the proposed chaotic synchronization method.

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Available abstract

This paper considers the synchronization problem of a class of non-smooth-air-gap PMSM chaotic systems with unknown parameters. Based on the adaptive control idea, a new adaptive controller is implemented to synchronize the uncertain PMSM chaotic system. By denoting the synchronization error signal as the difference between the drive system and the response system, the synchronization error system is derived. The asymptotic stability of the zero equilibrium point for the synchronization error system is proved via Lyapunov stability theory. Simulation study is carried out to verify the effectiveness of the proposed chaotic synchronization method.

Key concepts: Control theory (sociology), Synchronization (alternating current), Lyapunov stability, Synchronization of chaos, Computer science, Controller (irrigation), Adaptive control, Equilibrium point

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