Title :
Polynomial-Method-Based Design of Low-Order Controllers for Two-Mass Systems
Author :
Ma, Chengbin ; Cao, Junyi ; Qiao, Yue
Author_Institution :
Univ. of Michigan-SJTU Joint Inst., Shanghai Jiao Tong Univ., Shanghai, China
fDate :
3/1/2013 12:00:00 AM
Abstract :
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.
Keywords :
PI control; cold rolling; control nonlinearities; control system synthesis; damping; gears; polynomials; rolling mills; three-term control; velocity control; vibration control; characteristic-ratio assignment; damping; gear backlash nonlinearity; integral-proportional-derivative controller design; low-order controllers; low-order integral-proportional controller; m-IPD controllers; normalized model; polynomial-method-based design; speed control; tandem cold-rolling mill spindles; two-mass systems; vibration control; vibration suppression; Damping; IP networks; Polynomials; Transfer functions; Velocity control; Vibrations; Low-order controller; polynomial method; speed control; two-mass system;
Journal_Title :
Industrial Electronics, IEEE Transactions on
DOI :
10.1109/TIE.2012.2188869