Sliding Mode Control with Adaptive Approaching Law for Bioreactor
Bioprocesses have high nonlinearity and parameter uncertainty. In view of these specific natures of the bioreactor, system identification method was firstly used to linearize the nonlinear system and simplify the model of the biological reactor; then a new sliding mode controller with adaptive reaching law is designed for the reactor. The control method can not only analysis the sliding mode movement near or along the switching surface, but also design the dynamic process in trending segments of the system effectively, thus ensure good movement quality in the entire state space. Simulation results prove that the sliding mode control with adaptive reaching law can improve the control performance with negligible chattering and enhanced robustness.
Brendan Gan, Yu Gan and Y. Yu
L. P. Fan et al., "Sliding Mode Control with Adaptive Approaching Law for Bioreactor", Advanced Materials Research, Vols. 378-379, pp. 521-524, 2012