Adaptive-Fuzzy-Identification-Based Sliding-Mode Control for Linear Ultrasonic Motor
نویسندگان
چکیده
An adaptive-fuzzy-identification-based sliding-mode control (AFISMC) design method is proposed to control an Linear Ultrasonic Motor (LUSM). Since the dynamic characteristic of the LUSM is difficult to obtain and the motor parameters are time varying, the AFISMC system is derived to automatically adjust the fuzzy rules without using any plant model of the LUSM. In the proposed AFISMC design method, a fuzzy system is utilized to identify the unknown system dynamic function. In addition, an error estimation mechanism is investigated to estimate the bound of approximation error. The experimental results show that the proposed AFISMC design method can achieve favorable control performance for the LUSM. Key-Words:Fuzzy system, Adaptive law, Sliding-mode control, System identification, Lyapunov function, Linear ultrasonic motor
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