Title :
Neural-network-based model predictive control: a case study
Author :
Karla, V.R. ; Bakker, H. H C
Author_Institution :
Dept. of Production Technol., Massey Univ., Palmerston North, New Zealand
Abstract :
This paper presents a specific example of model predictive control (MPG) of an Ultra-High Temperature (UHT) milk treatment plan using a Artificial Neural Network (ANN) as the model. Single-network and composite-network models were trained on plant data with the composite-network model performing better. Simulations of a MPC scheme using the composite network model as a prediction model show that the scheme does not perform as well as a PI controller. Some pitfalls and possible improvements are noted
Keywords :
feedforward neural nets; food processing industry; model reference adaptive control systems; neurocontrollers; predictive control; UHT milk treatment plan; composite-network models; neural-network-based model predictive control; ultra-high temperature milk treatment plan; Artificial neural networks; Computer aided software engineering; Control system synthesis; Costs; Dairy products; Neural networks; Neurons; Predictive control; Predictive models; Production;
Conference_Titel :
Artificial Neural Networks and Expert Systems, 1995. Proceedings., Second New Zealand International Two-Stream Conference on
Conference_Location :
Dunedin
Print_ISBN :
0-8186-7174-2
DOI :
10.1109/ANNES.1995.499507
