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Use of neural networks for quick and accurate auto-tuning of PID controller

  • Published:2007-04 Issue:2 Volume:23 Page:170-179
  • ISSN:0736-5845
  • Container-title:Robotics and Computer-Integrated Manufacturing
  • language:en
  • Short-container-title:Robotics and Computer-Integrated Manufacturing

Author:

D’Emilia Giulio,Marra Antonio,Natale Emanuela

Publisher

Elsevier BV

Subject

Industrial and Manufacturing Engineering,Computer Science Applications,General Mathematics,Software,Control and Systems Engineering

Reference13 articles.

1. Automatic tuning of PID-regulators. report, Department of Control Engineering;Rasmussen,2002

2. Relay feedback auto-tuning of process controllers—a tutorial review;Hang;J Process Control,2002

3. A simple method of tuning PID controllers for integrator/dead-time processes;Chidambaram;Comput Chem Eng,2003

4. Relay auto-tuning of PID controllers using iterative feedback tuning;Ho;Automatica,2003

5. New tuning method for PID controller;Shen;ISA Trans,2002

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1. Particularities of Identification and Tuning of Linear Systems with State Controllers Using Artificial Neural Networks;2024 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM);2024-05-20

2. Actor-Critic Learning of Variable Damping Injection for Quadrotor Attitude Robust Control;2023 20th International Conference on Electrical Engineering, Computing Science and Automatic Control (CCE);2023-10-25

3. A Novel Entropy-Maximizing TD3-based Reinforcement Learning for Automatic PID Tuning;2023 American Control Conference (ACC);2023-05-31

4. Nonlinear Antiswing Control of Shipboard Boom Cranes Using MPC-Based Auto-Tuning Mechanism With Full State Constraints;IEEE Transactions on Intelligent Transportation Systems;2023

5. Dynamic Object Parametric Identification with the Decompositional Neural Network;2022 International Russian Automation Conference (RusAutoCon);2022-09-04
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