Simultaneous tuning of multiple PID controllers for multivariable systems using deep reinforcement learning

Simultaneous tuning of multiple PID controllers for multivariable systems using deep reinforcement learning

Traditionally, tuning of PID controllers is based on linear approximation of the dynamics between the manipulated input and the controlled output. The tuning is performed one loop at a time and interaction effects between the multiple single-input-single-output (SISO) feedback control loops is ignor...

Full description

Bibliographic Details
Main Authors: Sammyak Mate, Pawankumar Pal, Anshumali Jaiswal, Sharad Bhartiya
Format: Article
Language:English
Published: Elsevier 2023-12-01
Series:Digital Chemical Engineering
Subjects:
Nonlinear multivariable system
Simultaneous tuning of multiple PIDs
Deep reinforcement learning
Actor–critic network
Non-minimum phase
Online Access:http://www.sciencedirect.com/science/article/pii/S2772508123000492

Internet

http://www.sciencedirect.com/science/article/pii/S2772508123000492

Similar Items