Internal model control for a continuous, snack food frying process using neural networks
- Additional Document Info
- View All
Based on a developed neural network one-step-ahead prediction model with two inputs and two outputs, an internal model control (IMC) loop is established for process control of a continuous, snack food frying process. In this multivariable control loop, each control action is computed iteratively by a modified Newton's and gradient descent methods to inverse the process prediction model equation at each time instant. Using this control loop, the time-lags between the process inputs and outputs are compensated. Results of controller simulation of the continuous, snack food frying process are presented.
author list (cited authors)
Huang, Y., Whittaker, A. D., & Lacey, R. E
complete list of authors
Huang, Y||Whittaker, AD||Lacey, RE