Paper Info
Title
Precipitation Control for Mixed Solution Based on Fuzzy Adaptive Robust Algorithm.
Abstract
Fuzzy adaptive robust control algorithm was proposed for a class of uncertain nonlinear systems based on Lyapunov's stability theory. The system was divided into nominal model and lumped disturbance term which embodies modeling error, parameter uncertainties, disturbances and unmodeled dynamics. Fuzzy adaptive control was adopted to approach uncertain parameters of the system in real time; the impact of external disturbances was eliminated by robust control. The on-line calculation amount of fuzzy logic system is relatively less, the dynamic performance of system is better, and the output of system tracks the expectation well. The stability was proved and the algorithm was applied to the precipitation control of sucrose-glucose mixed solution. Simulation result supported the validity of the proposed algorithm.
Year
DOI
Venue
2012
10.1007/978-3-642-31837-5_5
Communications in Computer and Information Science
Keywords
Field
DocType
batch processes,precipitation of mixed solution,nonlinearity,fuzzy adaptive robust,Chinese medicine
Lyapunov function,Fuzzy logic system,Mathematical optimization,Nonlinear system,Robust control algorithm,Control theory,Computer science,Fuzzy logic,Algorithm,Robust control,Stability theory,Precipitation
Conference
Volume
ISSN
Citations 
304
1865-0929
0
PageRank 
References 
Authors
0.34
6
3
Name
Order
Citations
PageRank
Hongjun Duan102.70
Fengwen Wang202.70
S. Peng333240.36