Polynomial-based Inertia Ratio Controller Design for Vibration Suppression in Two-Mass System

被引:0
|
作者
Qiao, Yue [1 ]
Zhou, Lin [1 ]
Ma, Chengbin [1 ]
机构
[1] Shanghai Jiao Tong Univ, Univ Michigan, Joint Inst, Shanghai 200030, Peoples R China
关键词
NEURAL-NETWORK; SPEED CONTROL;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a polynomial-based design of inertia ratio controllers is discussed for the vibration suppression in two-mass system. A tradeoff relationship is shown to exist between damping and robustness performances in the control problem. A desirable inertia ratio of 5/16 is derived at which IP control provides a proper damping. Then two approaches for the control of equivalent inertia ratio are discussed without/with load velocity feedback. "Resonance ratio control" is capable of providing a sufficient damping for large inertia ratios by using only drive velocity feedback. However, a negative derivative gain is necessary, which leads to a poor robustness. By using both drive and load velocity feedback, the equivalent inertia ratio can be exactly specified as 5/16. The proposed "inertia ratio controller" design shows an obvious improvement in terms of both damping and robustness performances. All the experimental results validate the polynomial-based theoretical analysis and controller design. The demonstrated generality and the explicit expression of damping indicate the promising prospect of the polynomial-based controller design for solving more complicated control problems.
引用
收藏
页码:3687 / 3692
页数:6
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