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Robust control design of an activated sludge process
Author(s) -
Georgieva P. G.,
Feyo De Azevedo S.
Publication year - 1999
Publication title -
international journal of robust and nonlinear control
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.361
H-Index - 106
eISSN - 1099-1239
pISSN - 1049-8923
DOI - 10.1002/(sici)1099-1239(199911)9:13<949::aid-rnc445>3.0.co;2-g
Subject(s) - control theory (sociology) , process (computing) , compensation (psychology) , controller (irrigation) , robust control , process control , riccati equation , control (management) , computer science , mathematical optimization , control engineering , mathematics , control system , engineering , artificial intelligence , psychology , mathematical analysis , electrical engineering , psychoanalysis , agronomy , biology , differential equation , operating system
A H ‐inf control strategy is presented for a robustly performing activated sludge process. In operational terms, the objective is to conduct the process imposing that the biomass concentration in the recycle stream follows closely a time‐varying, process‐dependent, reference signal. The corresponding control objective is described as the development of a robust reference‐tracking control structure with the best possible disturbance compensation, able to perform with noisy measurements and able to cope with variations in key process model parameters. The proposed algorithm embeds an estimation of states by solving the Riccati equation and avoids parameter estimation by assuming their variability within known bounds. Results are presented which show a favourable behaviour of the robust controller in comparison with a conventional PI control structure. Copyright © 1999 John Wiley & Sons, Ltd.