Nonlinear Adaptive PID Control for Nonlinear Systems

  • Kaili XIANG
  • , Yongduan SONG*
  • , Petros IOANNOU
  • *Corresponding author for this work

Research output: Journal PublicationsJournal Article (refereed)peer-review

8 Citations (Scopus)

Abstract

This article introduces a nonlinear adaptive proportional-integral-derivative (PID) tracking control methodology suitable for a class of multi-in-multi-out nonlinear systems. By incorporating three nonlinear modulating (trimming) functions to “recalibrate” the generalized tracking error, a nonlinear PID control framework is constructed that possesses several notable features. First, the user-assignable parameters in the modulating functions allow the resultant control strategy to analytically bridge fixed gain linear PID control with nonlinear PID control, covering both traditional fixed-gain and time-varying gain PID control as special cases. Second, the inherently nonlinear nature of the proposed control methodology effectively counteracts system nonlinearities, thereby enhancing the overall performance of the control scheme. Third, unlike conventional PID control that often involves integration saturation, the proposed control method obliterates such “windup” phenomenon by utilizing the integral trimming function that remains bounded or self-vanishes. Fourth, eliminating the necessity for a “trial-and-error” process for PID gain determination, the proposed control not only ensures asymptotic tracking but also guarantees a bounded comprehensive performance index in the presence of modeling uncertainties and external disturbances. The effectiveness and benefits of the proposed method are also confirmed by numerical simulations.

Original languageEnglish
Pages (from-to)7000-7007
Number of pages8
JournalIEEE Transactions on Automatic Control
Volume70
Issue number10
Early online date6 May 2025
DOIs
Publication statusPublished - Oct 2025
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 1963-2012 IEEE.

Funding

This work was supported in part by the National Key Research and Development Program of China under Grant 2021ZD0201300 and Grant 2022YFB4701400/4701401, and in part by the National Natural Science Foundation of China under Grant 61991400, Grant 61991403, Grant 62250710167, Grant 61860206008, Grant 61933012, and Grant 62273064.

Keywords

  • Asymptotic tracking control
  • multi-in-multi-out (MIMO) nonlinear systems
  • nonlinear adaptive proportional-integral-derivative (PID) control

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