Application of Adaptive Fuzzy Wavelet Neural Sliding Mode Control in AC Servo System

doi:10.3969/j.issn.1000-1093.2014.06.003

Abstract

Abstract: An adaptive fuzzy wavelet neural network fast terminal sliding mode control (AFWN-FTSMC) approach is proposed to control the position of high power AC servo system in a certain weapon. An adaptive fuzzy wavelet neural network controller (AFWNC) is introduced to approach the equivalent control of sliding mode control, which solves the problem that the equivalent control can not be obtained accurately because of the uncertain parameter and external disturbances of the system. The controller can be designed without accurate mode. An adaptive proportional-integral (A-PI) law is used to eliminate system chattering. The stability of the closed loop system is guaranteed by using the Lyapunov method. Simulation results show that the proposed approach can not only improve the steady state performance and control accuracy, but also avoid the chattering problem effectively, and the structural parameter uncertainty has strong robustness.

Key words: control science and technology, AC servo system, adaptive fuzzy wavelet neural network controller, fast terminal sliding mode control, adaptive proportional-integral control

CLC Number:

TP273

HOU Run-min， LIU Rong-zhong， HOU Yuan-Long， GAO Qiang， YANG Guo-lai. Application of Adaptive Fuzzy Wavelet Neural Sliding Mode Control in AC Servo System[J]. Acta Armamentarii, 2014, 35(6): 769-775.

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