Neural network approach for linearizing control of nonlinear process plants

Citation
Mhrf. Rahman et al., Neural network approach for linearizing control of nonlinear process plants, IEEE IND E, 47(2), 2000, pp. 470-477
Citations number
23
Categorie Soggetti
Eletrical & Eletronics Engineeing
Journal title
IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS
ISSN journal
02780046 → ACNP
Volume
47
Issue
2
Year of publication
2000
Pages
470 - 477
Database
ISI
SICI code
0278-0046(200004)47:2<470:NNAFLC>2.0.ZU;2-5
Abstract
The application of feedback linearization technique using artificial neural networks (ANN's) for a nonlinear industrial process plant is considered in this paper, The process plant is modeled first using an ANN, and then the dynamic neural network model acting as a process plant emulator is feedback linearized. A novel configuration for linearization of an ANN emulator usi ng only backpropagation is used. Effective control of the linearized emulat or is then exhibited using a linear controller. Experimentation and simulat ion results on the linearized emulator are presented to demonstrate the eff ectiveness of the feedback linearization technique.