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Deterministic Learning-Based Neural PID Control for Nonlinear Robotic Systems
Qinchen Yang; Fukai Zhang; Cong Wang
Source PublicationIEEE/CAA Journal of Automatica Sinica
AbstractTraditional proportional-integral-derivative (PID) controllers have achieved widespread success in industrial applications. However, the nonlinearity and uncertainty of practical systems cannot be ignored, even though most of the existing research on PID controllers is focused on linear systems. Therefore, developing a PID controller with learning ability is of great significance for complex nonlinear systems. This article proposes a deterministic learning-based advanced PID controller for robot manipulator systems with uncertainties. The introduction of neural networks (NNs) overcomes the upper limit of the traditional PID feedback mechanism’s capability. The proposed control scheme not only guarantees system stability and tracking error convergence but also provides a simple way to choose the three parameters of PID by setting the proportional coefficients. Under the partial persistent excitation (PE) condition, the closed-loop system unknown dynamics of robot manipulator systems are accurately approximated by NNs. Based on the acquired knowledge from the stable control process, a learning PID controller is developed to further improve overall control performance, while overcoming the problem of repeated online weight updates. Simulation studies and physical experiments demonstrate the validity and practicality of the proposed strategy discussed in this article.
KeywordAdaptive neural control (ANC) deterministic learning (DL) neural network (NN) robot manipulators
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Document Type期刊论文
Collection学术期刊_IEEE/CAA Journal of Automatica Sinica
Recommended Citation
GB/T 7714
Qinchen Yang,Fukai Zhang,Cong Wang. Deterministic Learning-Based Neural PID Control for Nonlinear Robotic Systems[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(5):1227-1238.
APA Qinchen Yang,Fukai Zhang,&Cong Wang.(2024).Deterministic Learning-Based Neural PID Control for Nonlinear Robotic Systems.IEEE/CAA Journal of Automatica Sinica,11(5),1227-1238.
MLA Qinchen Yang,et al."Deterministic Learning-Based Neural PID Control for Nonlinear Robotic Systems".IEEE/CAA Journal of Automatica Sinica 11.5(2024):1227-1238.
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