High-performance Control for a Nonlinear Biotechnological Process Based-on Adaptive Gain Sliding Mode Strategy

Abstract

The production of biogas in anaerobic fermentation is one of the most important interests in industrial applications for two main reasons: the elimination of organic waste and the production of renewable energy. The mentioned biotechnological process, which takes place inside of a continuous stirred tank bioreactor (CSTB), is described in this study by a two-step reaction scheme based on a second-order nonlinear model. After describing the dynamical model of the considered system, an adaptive gain sliding mode control (AGSMC) algorithm is proposed to regulate the concentration of some pollutants in a waste treatment process at a predefined constant (low) level. The stability is shown by the Lyapunov theory and the control action used did not exhibit any chattering behaviour. Several simulation results are provided to validate the proposed strategy and illustrate the overall performance improvements.

Keywords

• nonlinear systems
• biotechnological process
• adaptive gain sliding mode control
• stability