Polynomial-Method-Based Design of Low-Order Controllers for Two-Mass Systems

被引:43
|
作者
Ma, Chengbin [1 ]
Cao, Junyi [2 ]
Qiao, Yue [1 ]
机构
[1] Shanghai Jiao Tong Univ, Univ Michigan Shanghai Jiao Tong Univ Joint Inst, Shanghai 200240, Peoples R China
[2] Xi An Jiao Tong Univ, Sch Mech Engn, Xian 710049, Peoples R China
基金
美国国家科学基金会;
关键词
Low-order controller; polynomial method; speed control; two-mass system; VIBRATION CONTROL; NEURAL-NETWORK; SUPPRESSION;
D O I
10.1109/TIE.2012.2188869
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, low-order integral-proportional (IP), modified IP (m-IP), and modified integral-proportional-derivative (m-IPD) controllers are designed for the speed control of a two-mass system based on a normalized model and polynomial method. In order to have sufficient damping, the parameters of the controllers are determined through characteristic-ratio assignment under the principle that all the characteristic ratios should be larger than two. It is found that for an inertia ratio smaller than one-third, an IP controller can effectively suppress the vibrations with proper damping, while for a relatively larger inertia ratio, an m-IP controller (i.e., IP controller with an additional low-pass filter) is effective. m-IPD control is theoretically effective for a large inertia ratio. However, the necessity of a negative derivative gain leads to a very poor robustness. Both simulation and experimental results verified the effectiveness of the designed IP and m-IP controllers when the inertia ratio is relatively small. For the m-IPD controller, its poor robustness is demonstrated by introducing a large gear backlash in experiments, while the IP and m-IP controllers show promising results of a much better robustness against the gear backlash nonlinearity.
引用
收藏
页码:969 / 978
页数:10
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