Particle Swarm Optimization based Haptic Localization of Plates with Electrostatic Vibration Actuators

Abstract

Haptic actuators for large display panels play an important role in bridging the gap between the digital and physical world bygenerating interactive feedback for users. However, the generation of meaningful haptic feedback is challenging for largedisplay panels. There are dead zones with low haptic sensations when a small number of actuators are applied. In contrast, it isimportant to control the traveling wave generated by the actuators in the presence of multiple actuators. In this study, we proposea particle swarm optimization (PSO)-based algorithm for the haptic localization of plates with electrostatic vibration actuators. We modeled the transverse displacement of a plate under the effect of actuators by employing the Kirchhoff-Love plate theory. In addition, starting with twenty randomly generated particles containing the actuator parameters, we searched for the optimalactuator parameters using a stochastic process to yield localization. The capability of the proposed PSO algorithm is reportedand the transverse displacement has a high magnitude only in the targeted region.