Literature DB >> 24238360

Control design for the SISO system with the unknown order and the unknown relative degree.

Chunzhe Zhao1, Donghai Li2.   

Abstract

For the uncertain system whose order, relative degree and parameters are unknown in the control design, new research is still in need on the parameter tuning and close-loop stability. During the last 10 years, much progress is made in the application and theory research of the active disturbance rejection control (ADRC) for the uncertain system. In this study, the necessary and sufficient conditions are established for building the ADRC for the minimum-phase system and the open-loop stable system when the plant parameters, orders and relative degrees are unknown, the corresponding ideal dynamics are analyzed, and the theoretical results are verified by the simulations. Considering the wide application and the long history of the PID/PI controller, a method is given to design ADRC quickly based on the existing (generalized or conventional) PID/PI controller. A plenty of simulations are made to illustrate this PID/PI-based design method and the corresponding close-loop performances. The simulation examples include the minimum/nonminimum-phase plants, the stable/integrating plants, the high/low-order plant, and the plants with time delays. Such plants are from a wider scope than the theoretical result, and representative of many kinds of the industrial processes. That leads to a new way to simplify the ADRC design via absorbing the engineering experience in designing the PID/PI controller.
© 2013 ISA. Published by ISA. All rights reserved.

Entities:  

Keywords:  Active disturbance rejection control; Necessary and sufficient condition; PID; Stability; Uncertain system

Year:  2013        PMID: 24238360     DOI: 10.1016/j.isatra.2013.10.001

Source DB:  PubMed          Journal:  ISA Trans        ISSN: 0019-0578            Impact factor:   5.468


  1 in total

1.  On disturbance rejection control of the epileptiform spikes.

Authors:  Wei Wei; Zhiyuan Zhang; Nan Chen; Min Zuo; Tao Yu
Journal:  Cogn Neurodyn       Date:  2021-09-22       Impact factor: 5.082

  1 in total

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