An improved fuzzy controller on electromechanical nano-tweezers

Abstract

This paper aims to develop an improved fuzzy controller for position controlling of nano-wire-based electromechanical nano-tweezers. The nonlinear governing equation is developed by incorporating the Euler–Bernoulli beam model and Hamilton’s principle. Also, the quantum vacuum fluctuations are assimilated in the developed model in terms of Casimir attraction. The nonlinear constitutive equation is transformed into a nonlinear state-space form by employing the Galerkin method. Based on the linguistic explanation of the system, an improved fuzzy controller is designed to control the nano-tweezers for manipulating desired objects. The Taguchi technique has been used to decrease the number of independent experiments and improve the structure of membership functions, consequently. The designed controller is employed for both controlling and path tracking of nano-tweezers. The outcomes indicate that the proposed improved fuzzy controller has excellent performance for stabilizing the nano-tweezers at any desired gap.