Bionic fuzzy sliding mode control and robustness analysis

In this study, we propose bionic fuzzy sliding mode control based on switching control item fuzzification for a class of uncertain nonlinear systems. We introduce biological adaptation strategies into sliding mode control under uncertain boundary circumstance and disturbances. The main feature of this new method is the design of the switching-type control item in the sliding mode controller based on biological active adaptation strategies. We also analyze the robustness of the bionic fuzzy sliding mode control system and prove the stability of the closed-loop system in the Lyapunov sense. Finally, simulation results obtained for the circle of inverted-pendulum system show that it is effective and feasible. We demonstrate that bionic fuzzy sliding mode control is superior to conventional fuzzy sliding mode control. This method alleviates the chattering phenomenon that affects sliding mode control and ensures that the tracking error stabilizes at zero.