Model-Assisted Online Optimization of Gain-Scheduled PID Control Using NSGA-II Iterative Genetic Algorithm

Model-Assisted Online Optimization of Gain-Scheduled PID Control Using NSGA-II Iterative Genetic Algorithm

In the practical control of nonlinear valve systems, PID control, as a model-free method, continues to play a crucial role thanks to its simple structure and performance-oriented tuning process. To improve the control performance, advanced gain-scheduling methods are used to schedule the PID control...

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Bibliographic Details
Main Authors: Shen Qu, Tianyi He, Guoming Zhu
Format: Article
Language:English
Published: MDPI AG 2023-05-01
Series:Applied Sciences
Subjects:
PID control
genetic algorithm
nonlinear system
gain scheduling
EGR valve
Online Access:https://www.mdpi.com/2076-3417/13/11/6444

Internet

https://www.mdpi.com/2076-3417/13/11/6444

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