高速电主轴块控自适应反演控制

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摘要针对高速电主轴驱动控制系统的不确定性，强耦合，非线性等难点，提出基于智能RBF调节神经网络的高速电主轴块控自适应反演控制方案。采用李雅普诺夫稳定性理论推导出主轴系统的控制律和参数自适应律，主轴转子转速及磁链跟踪显示出优良的瞬态性能并且能够对附加扭矩干扰以及主轴系统的不确定性具有较强的鲁棒性。仿真结果验证了此方案的有效性和合理性。

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	单文桃1
	陈小安2

关键词 ：电主轴, RBF神经网络, 反演控制, 非线性

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

收稿日期: 2015-04-29 出版日期: 2015-12-15

引用本文:

单文桃1，陈小安2. 高速电主轴块控自适应反演控制[J]. 振动与冲击, 2015, 34(23): 99-105.
Wen-tao Shan1, Xiao-an Chen2. Block adaptive backstepping control for high-speed motorized spindle. JOURNAL OF VIBRATION AND SHOCK, 2015, 34(23): 99-105.

链接本文:

http://jvs.sjtu.edu.cn/CN/ 或 http://jvs.sjtu.edu.cn/CN/Y2015/V34/I23/99

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