RETRACTED ARTICLE: A Novel Adaptive Sliding Mode Control of Microbial Fuel Cell in the Presence of Uncertainty

Stabilization of A Single Chamber Single Population Microbial Fuel Cell by Using of a Novel Nonlinear Adaptive Sliding Mode Control

“…In this section, to prove the efficiency of the proposed controller, the obtained results are compared with the results of an adaptive backstepping controller [14] and adaptive sliding mode method [25]. As in the previous work, obtaining a constant output voltage is pursued as a control target, while due to different load conditions, the substrate concentration must be maintained at the desired level.…”

“…The problem with the above controllers is that in the presence of nonlinear terms and uncertainties, the performance of the linear controllers is not suitable and also the backstepping method is not a complete control method due to the complexity of the computations due to recursive calculations. Despite all the previous works in the field of robust control design [15][16][17][18][19][20][21] and the application of some of them to the fuel cell systems [22][23][24][25], the behavior of previous controllers still faces challenges, some of which are as follows:…”

Robust adaptive fuzzy control for single-chamber single-population microbial fuel cell

“…Lately, the adaptive control technique has taken considerable attention to overcome the limitation that the nonlinearities of considered systems are required to be identified or can be linearly parameterized. A new adaptive sliding mode control scheme for covering disturbances and uncertainty effects in single-chamber microbial fuel cells is presented in Fu et al (2020). In addition, uncertain nonlinear systems can be modelled by combining fuzzy set theory with fuzzy equations.…”