Nonlinear Adaptive PID Control for Nonlinear Systems

This paper introduces a nonlinear adaptive PID tracking control methodology suitable for a class of MIMO nonlinear systems. By incorporating three nonlinear modulating (trimming) functions to “recalibrate” the generalized tracking error, a nonlinear proportional-integral-derivative (PID) control framework is constructed that possesses several notable features: 1) 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; 2) The inherently nonlinear nature of the proposed control methodology effectively counteracts system nonlinearities, thereby enhancing the overall performance of the control scheme; 3) 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; and 4) 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.

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Publication Details

Journal
IEEE Transactions on Automatic Control
Published
2025-05-06
DOI
https://doi.org/10.1109/tac.2025.3567565
Citations
9
Primary Topic
Advanced Control Systems Optimization
Type
article
Field-Weighted Citation Impact
10.93
Controls
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article

Nonlinear Adaptive PID Control for Nonlinear Systems

Pétros Ioannou, Yongduan Song, Kaili Xiang
9 citations
IEEE Transactions on Automatic Control
Advanced Control Systems Optimization
10.93
article

Nonlinear Adaptive PID Control for Nonlinear Systems

Pétros Ioannou, Yongduan Song, Kaili Xiang
article en
9 citations

Abstract

This paper introduces a nonlinear adaptive PID tracking control methodology suitable for a class of MIMO nonlinear systems. By incorporating three nonlinear modulating (trimming) functions to “recalibrate” the generalized tracking error, a nonlinear proportional-integral-derivative (PID) control framework is constructed that possesses several notable features: 1) 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; 2) The inherently nonlinear nature of the proposed control methodology effectively counteracts system nonlinearities, thereby enhancing the overall performance of the control scheme; 3) 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; and 4) 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.

IEEE Transactions on Automatic ControlVol. 70(10)
University of Southern California (US), Chongqing University (CN)
Openalex Percentile: Top 1%
Advanced Control Systems Optimization
10.93
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