Adaptive Sliding Mode Control of Servo System

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Abstract:

A novel adaptive sliding mode control is proposed to guarantee high precision and robustness of servo system of rocket launcher. An improved PID switching function is designed to smooth control input, meanwhile Chebyshev neural network is adopted to identify the system’s Jacobian information, and parameters of controller can be acquired by self-tuning law which can be derived by Lyapunov theory. Simulation results show the control input is chattering-free, and both load disturbance and parameter perturbation can be compensated.

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2466-2469

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May 2014

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© 2014 Trans Tech Publications Ltd. All Rights Reserved

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