Regular Papers
Transaction on Control Automation, and Systems Engineering 2000; 2(3): 196-200
© The International Journal of Control, Automation, and Systems
Process Control Using a Neurl Netwok Combined with the Conventional PID Controllers
A neural controller for process control is proposed that combines a conventional multi-loop PID controller with a neural network. The concept of target signal based on feedback error is used for on-line learning of the neural network. This controller is applied to distillation column control to illustrate its effectiveness. The result shows that the proposed neural controller can cope well with disturbance, strong interactions, time delays without any prior knowledge of the process.
Keywords process control, neural network, distillation control, target signal, feedback error learning
PDF
Standard view
Export citation
Share Article
Regular Papers
Transaction on Control Automation, and Systems Engineering 2000; 2(3): 196-200
Published online September 1, 2000
Copyright © The International Journal of Control, Automation, and Systems.
Process Control Using a Neurl Netwok Combined with the Conventional PID Controllers
Moonyong Lee /Sunwon Park
Abstract
A neural controller for process control is proposed that combines a conventional multi-loop PID controller with a neural network. The concept of target signal based on feedback error is used for on-line learning of the neural network. This controller is applied to distillation column control to illustrate its effectiveness. The result shows that the proposed neural controller can cope well with disturbance, strong interactions, time delays without any prior knowledge of the process.
Keywords: process control, neural network, distillation control, target signal, feedback error learning
Vol. 23, No. 3, pp. 683~972
Article Tools
Stats or Metrics
Share this article on
Related articles in IJCAS
-
Process Control Using a Neural Network
Moonyong Lee/Sunwon Park
Transaction on Control Automation, and Systems Engineering 2000; 2(2): 136-139 -
NN-augmented EKF for Robust Orientation Estimation Based on MARG Sensors
Akos Odry*, Istvan Kecskes, Richard Pesti, Dominik Csik, Massimo Stefanoni, Jozsef Sarosi, and Peter Sarcevic
International Journal of Control, Automation, and Systems 2025; 23(3): 920-934 -
Neural Network-based Head Movement Prediction Using Electromyography Signals
Yundong Kim, Jirou Feng, Taeyeon Kim, Gibeom Park, Kyungmin Lee, and Seulki Kyeong*
International Journal of Control, Automation, and Systems 2025; 23(2): 459-466
