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
Fuzzy model and decision of COD control for an activated sludge process
β Scribed by Chunsheng Fu; Manel Poch
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 810 KB
- Volume
- 93
- Category
- Article
- ISSN
- 0165-0114
No coin nor oath required. For personal study only.
β¦ Synopsis
An approach for fuzzy modeling and decision is presented based upon fuzzy logic inference. Modeling and decision making for process control in a real-world activated sludge process were studied. The modeling work for the process is based upon some historical on-line measurable and off-line sampling data from the process, and process operational experience. Some calculated data for the modeling resulted from estimation of the developed model. The method of estimation is also briefly introduced in this article. Performance of the fuzzy strategies or fuzzy decisions has been tested by comparing some results of fuzzy decision against results of simulation on dynamic mathematical models for the same process. The test results are satisfactory.
π SIMILAR VOLUMES
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
A partial least squares (PLS) regression is used to model and visualize the waste-water treatment process. The score values of PLS are submitted to both a fuzzy C-means (FCM) clustering and a possibilistic C-means (PCM) clustering. In this work, four concepts are presented. Firstly, a hidden path pr