Particle Swarm Optimization Applied to the Design of a Nonlinear Control

Abstract

A method of searching for a tuning of an input to state linearizing controller is presented. The problem of ?nding the appropriate weights of the control law’s terms is treated as an optimization problem. Given the highly nonlinear surfaces that are likely to be searched, particle swarm optimization is applied. The MEMS parallel plate actuator is used to explore the e?ectiveness of this technique. The resulting tuning of the controller is then compared to that of the analytically designed solution.