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

被引:42
|
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
  • [1] Polynomial Design of Low-Order Controllers for SISO DAE Systems
    A. V. Chekhonadskikh
    [J]. Optoelectronics, Instrumentation and Data Processing, 2023, 59 : 372 - 381
  • [2] Polynomial Design of Low-Order Controllers for SISO DAE Systems
    Chekhonadskikh, A. V.
    [J]. OPTOELECTRONICS INSTRUMENTATION AND DATA PROCESSING, 2023, 59 (03) : 372 - 381
  • [3] IMC-Based PID Controllers Design for Two-mass System
    Detchrat, A.
    Tipsuwanporn, V.
    Numsomran, A.
    Suvikath, S.
    [J]. INTERNATIONAL MULTICONFERENCE OF ENGINEERS AND COMPUTER SCIENTIST, IMECS 2012, VOL II, 2012, : 928 - 931
  • [4] PI and low-order controllers for two-channel decentralized systems
    Gündes, AN
    Özgüler, AB
    [J]. PROCEEDINGS OF THE 2003 AMERICAN CONTROL CONFERENCE, VOLS 1-6, 2003, : 4987 - 4988
  • [5] Novel Two-Stage Method for Low-Order Polynomial Model
    Yan, Cheng
    Shen, Xiuli
    Guo, Fushui
    [J]. MATHEMATICAL PROBLEMS IN ENGINEERING, 2018, 2018
  • [6] A low-order approximation method for fractional order PID controllers
    Birs, Isabela R.
    Muresan, Cristina, I
    Ghita, Maria
    Ionescu, Clara
    De Keyser, Robin
    [J]. 2022 IEEE 61ST CONFERENCE ON DECISION AND CONTROL (CDC), 2022, : 6556 - 6561
  • [7] OPTIMAL LOW-ORDER CONTROLLERS FOR LINEAR STOCHASTIC SYSTEMS
    SIDAR, M
    KURTARAN, BZ
    [J]. INTERNATIONAL JOURNAL OF CONTROL, 1975, 22 (03) : 377 - 387
  • [8] A class of robust low-order controllers: A synthesis method
    Brusin, VA
    [J]. AUTOMATION AND REMOTE CONTROL, 2000, 61 (10) : 1690 - 1697
  • [9] A reduced basis approach to the design of low-order feedback controllers for nonlinear continuous systems
    Burns, JA
    King, BB
    [J]. JOURNAL OF VIBRATION AND CONTROL, 1998, 4 (03) : 297 - 323
  • [10] Reduced basis approach to the design of low-order feedback controllers for nonlinear continuous systems
    Virginia Polytechnic Inst and State, Univ, Blacksburg, United States
    [J]. JVC/J Vib Control, 3 (297-323):