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.
Authors
- Pétros Ioannou (ORCID: https://orcid.org/0000-0001-6981-0704)
- Yongduan Song (ORCID: https://orcid.org/0000-0002-2167-1861)
- Kaili Xiang (ORCID: https://orcid.org/0009-0006-6577-0593)
Institutions
- University of Southern California (US)
- Chongqing University (CN)
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