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
相关论文
共 50 条
  • [41] A Design Method for Low-Order Accurate Parallel Graphic Equalizers
    Li, Ya
    Yang, Junjie
    Feng, Qi
    Ling, Bingo Wing-Kuen
    JOURNAL OF THE AUDIO ENGINEERING SOCIETY, 2022, 70 (04): : 284 - 293
  • [42] COMPUTER-AIDED DESIGN OF SUBOPTIMAL FEEDBACK CONTROLLERS USING OPTIMAL LOW-ORDER MODELS
    BEREZNAI, GT
    SINHA, NK
    ELECTRONICS LETTERS, 1971, 7 (15) : 440 - &
  • [43] LOW-ORDER CONTROLLERS FOR ACTIVE NOISE CANCELLATION BASED ON HANKEL MATRIX RANK MINIMIZATION
    Hilgemann, Florian
    Jax, Peter
    2024 18TH INTERNATIONAL WORKSHOP ON ACOUSTIC SIGNAL ENHANCEMENT, IWAENC 2024, 2024, : 399 - 403
  • [44] Efficient design of low-order H∞ optimal controllers using evolutionary algorithms and a bisection approach
    Popov, Andrey
    Wemer, Herbert
    2006 IEEE CONFERENCE ON COMPUTER-AIDED CONTROL SYSTEM DESIGN, VOLS 1 AND 2, 2006, : 157 - +
  • [46] POLE-ZERO PATTERNS IN ANALYSIS AND DESIGN OF LOW-ORDER SYSTEMS
    CULPEPPE.TW
    PROCEEDINGS OF THE INSTITUTE OF ELECTRICAL AND ELECTRONICS ENGINEERS, 1965, 53 (01): : 111 - &
  • [47] Design of 2-D filters composed of low-order systems
    Saidi, A
    McClellan, JH
    2000 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH, AND SIGNAL PROCESSING, PROCEEDINGS, VOLS I-VI, 2000, : 2159 - 2162
  • [48] NCTF-EMRAN Control Method for a Two-Mass Rotary Positioning Systems
    Yakub, Mohd Fitri Mohd
    Wijaya, Andika Aji
    2011 11TH INTERNATIONAL CONFERENCE ON CONTROL, AUTOMATION AND SYSTEMS (ICCAS), 2011, : 1451 - 1456
  • [49] Design of controllers for integrating and unstable time delay systems using polynomial method
    Dostál, P
    Bobál, V
    Sysel, M
    PROCEEDINGS OF THE 2002 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2002, 1-6 : 2773 - 2778
  • [50] ADDED-MASS COEFFICIENTS FOR SUBMERGED BODIES BY A LOW-ORDER PANEL METHOD
    SAHIN, I
    CRANE, J
    WATSON, K
    JOURNAL OF FLUIDS ENGINEERING-TRANSACTIONS OF THE ASME, 1993, 115 (03): : 452 - 456