Robust control of a MEMS optical switch using fuzzy tuning sliding mode

In this paper, a new approach of sliding mode control is presented for the control of a MEMS optical switch in which electrical, mechanical, and optical models are considered. In this method, fuzzy gain scheduling is employed to fight against uncertainties. By applying fuzzy method, sliding mode gains are tuned according to real-time error which leads to the optimization of the energy consumption and accurate control process. Robustness of the proposed controller is evaluated in the presence of uncertainties created by measurement errors, un-modeled dynamics, parametric errors, and external disturbances. This work improves upon the works previously done in this field of research by reducing the effects of modeling errors and uncertainty limits in calculating control law. Behavior of the control system is also kept robust and precise throughout. Simulation results show that the proposed approach outperforms the conventional sliding mode controller in terms of efficiency and accuracy.