Online Tuning of a PID Controller with a Fuzzy Reinforcement Learning MAS for Flow Rate Control of a Desalination Unit

Online Tuning of a PID Controller with a Fuzzy Reinforcement Learning MAS for Flow Rate Control of a Desalination Unit

This paper proposes a hybrid Zeigler-Nichols (Z-N) fuzzy reinforcement learning MAS (Multi-Agent System) approach for online tuning of a Proportional Integral Derivative (PID) controller in order to control the flow rate of a desalination unit. The PID gains are set by the Z-N method and then are ad...

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Bibliographic Details
Main Authors: Panagiotis Kofinas, Anastasios I. Dounis
Format: Article
Language:English
Published: MDPI AG 2019-02-01
Series:Electronics
Subjects:
reinforcement learning
PID controller
online tuning
desalination plant
fuzzy reinforcement learning
MAS
Online Access:https://www.mdpi.com/2079-9292/8/2/231

Internet

https://www.mdpi.com/2079-9292/8/2/231

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