Block adaptive backstepping control for high-speed motorized spindle

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Journal of Vibration and Shock ›› 2015, Vol. 34 ›› Issue (23) : 99-105.

Wen-tao Shan1, Xiao-an Chen2

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Abstract

According to high-speed motorized spindle (HSMS) is a complex controlled object of uncertainty, nonlinear and strong coupling, this paper proposes a block adaptive backstepping control for it based on global RBF neural network. Backstepping control laws and parameter updating laws are derived using Lyapunov theory, which guarantees the stability of the whole spindle system. With the proposed block adaptive backstepping controller, the rotor speed and flux reference signals tracking of the high-speed motorized spindle possesses the advantages of nice transient control performance and robustness to the load torque disturbance and parametric uncertainty. Simulation results validate the effectiveness and rationality of the proposed control scheme.

Key words

motorized spindle / RBF neural network / backstepping control / Nonlinearity

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Wen-tao Shan1, Xiao-an Chen2. Block adaptive backstepping control for high-speed motorized spindle[J]. Journal of Vibration and Shock, 2015, 34(23): 99-105

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