Sanitizer Dosing Decoupling Control Based on IMC-NN Inverse System

Autor:	Xie Peizhang, Zhou Xing-peng
Rok vydání:	2013
Předmět:	Engineering Inverse system Inertial frame of reference Wavelet neural network Robustness (computer science) business.industry Control theory MIMO Internal model Errors-in-variables models business Decoupling (electronics)
Zdroj:	TELKOMNIKA Indonesian Journal of Electrical Engineering. 11
ISSN:	2087-278X 2302-4046
DOI:	10.11591/telkomnika.v11i9.3247
Popis:	Multi tunnels multi pools (MTMP) structure is very common in tap-waterworks, MTMP structure sanitizer dosing system is a complicated system with coupling, large time delay and inertial. Internal model control decoupling based on wavelet neural networks inverse system is introduced to solve the problems. First order inverse system is identified using wavelet neural networks, this inverse system cascades the original system so that pseudo-linearization system can be obtained, and then this MIMO system can be transformed to SISO system with no coupling. In addition time delay and model error can be overcome by internal model control. Practical application shows that the coupling, time delay and inertial of MTMP sanitizer dosing system is overcome, also this method is able to resist the disturbance and improve the robustness . DOI: http://dx.doi.org/10.11591/telkomnika.v11i9.3247
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::c32c9596f2166550554c40ce1f239535 https://doi.org/10.11591/telkomnika.v11i9.3247 Zobrazit plný text záznamu