Design PID controllers for desired time-domain or frequency-domain response

被引:29
|
作者
Zhang, WD [1 ]
Xi, YG [1 ]
Yang, GK [1 ]
Xu, XM [1 ]
机构
[1] Shanghai Jiao Tong Univ, Dept Automat, Shanghai 200030, Peoples R China
关键词
linear systems; time delay; PID controller; optimal control; time-domain response;
D O I
10.1016/S0019-0578(07)60106-2
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Practical requirements on the design of control systems, especially process control systems, are usually specified in terms of time-domain response, such as overshoot and rise time, or frequency-domain response, such as resonance peak and stability margin. Although numerous methods have been developed for the design of the proportional-integral derivative (PID) controller, little work has been done in relation to the quantitative time-domain and frequency-domain responses. In this paper, we study the following problem: Given a nominal stable process with time delay, we design a suboptimal PID controller to achieve the required time-domain response or frequency-domain response for the nominal system or the uncertain system. An H-2 PID controller is developed based on optimal control theory and the parameters are derived analytically. Its properties are investigated and compared with that of two developed suboptimal controllers: an H-2 PID controller and a Maclaurin PID controller. It is shown that all three controllers can provide the quantitative time-domain and frequency-domain responses. (C) 2002 ISA-The Instrumentation, Systems, and Automation Society.
引用
收藏
页码:511 / 520
页数:10
相关论文
共 50 条
  • [31] Transforming a time-domain electromagnetic signal to a frequency-domain electromagnetic response using regularization inversion
    Weng, Aihua
    Li, Dajun
    Yang, Yue
    Li, Sirui
    Li, Jianping
    Li, Shiwen
    GEOPHYSICS, 2017, 82 (05) : E287 - E295
  • [32] COMPARISON OF TIME-DOMAIN AND FREQUENCY-DOMAIN MEASUREMENT TECHNIQUES IN ANTENNA THEORY
    YOUNG, JD
    SVOBODA, DE
    BURNSIDE, WD
    IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, 1973, AP21 (04) : 581 - 583
  • [33] Fast Synchrophasor Estimation by Means of Frequency-Domain and Time-Domain Algorithms
    Belega, Daniel
    Macii, David
    Petri, Dario
    IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2014, 63 (02) : 388 - 401
  • [34] Comparison of Time-Domain and Frequency-Domain Contact Resonant Ultrasound Spectroscopy
    Hernandez-Becerra, P. A. I.
    Balleza-Ordaz, M.
    Vargas-Luna, M.
    Delgadillo-Holtfort, I.
    INSTRUMENTS AND EXPERIMENTAL TECHNIQUES, 2019, 62 (02) : 241 - 246
  • [35] Comparison of Time-Domain and Frequency-Domain Contact Resonant Ultrasound Spectroscopy
    P. A. I. Hernández-Becerra
    M. Balleza-Ordaz
    M. Vargas-Luna
    I. Delgadillo-Holtfort
    Instruments and Experimental Techniques, 2019, 62 : 241 - 246
  • [36] Direct connection between time-domain performance and frequency-domain characteristics
    Franchek, MA
    Herman, PA
    INTERNATIONAL JOURNAL OF ROBUST AND NONLINEAR CONTROL, 1998, 8 (12) : 1021 - 1042
  • [37] Comparison between a time-domain and a frequency-domain system for optical tomography
    Nissila, Ilkka
    Lipiainen, Lauri
    Hebden, Jeremy C.
    Katila, Toivo
    Jennions, David
    Heino, Jenni
    Schweiger, Martin
    Kotilahti, Kalle
    Noponen, Tommi
    Gibson, Adam
    Jarvenpaa, Seppo
    JOURNAL OF BIOMEDICAL OPTICS, 2006, 11 (06)
  • [38] Cognitive processing in sleep as revealed by time-domain and frequency-domain components
    Karakas, S.
    INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY, 2008, 69 (03) : 154 - 154
  • [39] A Comparison of Time-Domain and Frequency-Domain Microwave Imaging of Experimental Targets
    Saraskanroud, Forouz Mahdinezhad
    Jeffrey, Ian
    IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING, 2021, 7 (07) : 611 - 623
  • [40] Numerical methods for time-domain and frequency-domain analysis: applications in engineering
    Tamas, R. D.
    MODERN TECHNOLOGIES IN INDUSTRIAL ENGINEERING (MODTECH2015), 2015, 95