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- Title
CONTROL OF A BATCH POLYMERIZATION SYSTEM USING HYBRID NEURAL NETWORK -- FIRST PRINCIPLE MODEL.
- Authors
Ng Cheah Wei; Hussain, Mohamed Azlan; Abdul Wahab, Ahmad Khairi
- Abstract
In this work, the utilization of neural network in hybrid with first principle models for modelling and control of a batch polymerization process was investigated. Following the steps of the methodology, hybrid neural network (HNN) forward models and HNN inverse model of the process were first developed and then the performance of the model in direct inverse control strategy and internal model control (IMC) strategy was investigated. For comparison purposes, the performance of conventional neural network and PID controller in control was compared with the proposed HNN. The results show that HNN is able to control perfectly for both set points tracking and disturbance rejection studies.
- Subjects
ARTIFICIAL neural networks; MATHEMATICAL models; POLYMERIZATION; CHEMICAL processes; PID controllers; AUTOMATIC control systems
- Publication
Canadian Journal of Chemical Engineering, 2007, Vol 85, Issue 6, p936
- ISSN
0008-4034
- Publication type
Article
- DOI
10.1002/cjce.5450850616