期刊名称：Journal of Theoretical and Applied Information Technology
印刷版ISSN：1992-8645
电子版ISSN：1817-3195
出版年度：2017
卷号：95
期号：5
出版社：Journal of Theoretical and Applied
摘要：In this paper, a design of Sliding Mode Observer (SMO) of a class of biochemical processes is proposed. Indeed, nonlinear observers for the estimation of the substances are presented and the estimation of non-measured states in waste water treatment process is addressed. The proposed observers are very successful in accurately estimating states variables. Specifically, sliding mode observer has been investigated for this class of nonlinear systems. Moreover, they are very easy to implement and to calibrate in order to estimate non measurable state. The sliding mode observer is compared with High Gain Observer (HGO) and Extended Kalman Filter (EKF). The performance of the sliding mode observer is illustrated through numerical simulations. The simulation results for the bioreactor application demonstrate the effectiveness of the proposed observer.
