In this paper a non-linear adaptive feedback-linearizing control is designed for a biological wastewater treatment model. The adaptive control structure is based on the non-linear model of the process and combined with a joint observer estimator which plays the role of the software sensor for the on
Robust control design of an activated sludge process
β Scribed by P. G. Georgieva; S. Feyo De Azevedo
- Publisher
- John Wiley and Sons
- Year
- 1999
- Tongue
- English
- Weight
- 172 KB
- Volume
- 9
- Category
- Article
- ISSN
- 1049-8923
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β¦ Synopsis
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.
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