Design of Data-driven Sliding Mode PID Controller for Unknown Nonlinear System

In this article, a new data-driven adaptive sliding-mode PID control (DASPIDC) algorithm is proposed for a class of unknown nonlinear discrete systems based on full form dynamic linearization model. The designed algorithm leads to a better stability of the system. Theoretical analyses demonstrate th...

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Bibliographic Details
Published in:	2024 IEEE 13th Data Driven Control and Learning Systems Conference (DDCLS) pp. 2236 - 2241
Main Authors:	Cao, Shuang, Xiong, Shuangshuang
Format:	Conference Proceeding
Language:	English
Published:	IEEE 17-05-2024
Subjects:	Adaptation models Adaptive systems Data-driven Heuristic algorithms Learning systems Model-free adaptive control PI control PID control Sliding-mode control Stability analysis Uncertainty
Online Access:	Get full text
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Summary:	In this article, a new data-driven adaptive sliding-mode PID control (DASPIDC) algorithm is proposed for a class of unknown nonlinear discrete systems based on full form dynamic linearization model. The designed algorithm leads to a better stability of the system. Theoretical analyses demonstrate the BIBO stability of the system, simulation results verify the effectiveness and superiority of the DASPIDC algorithm.
ISSN:	2767-9861
DOI:	10.1109/DDCLS61622.2024.10606802