This paper presents a track misregistration (TMR)-oriented optimization of
a suspension based milliactuator, the Merlion actuator. Controllers for dif
ferent variations of the Merlion actuator are designed to obtain the corres
ponding optimal TMR. A TMR prediction function was derived to estimate the
achievable TMR based on the actuator's resonant frequencies and amplitudes.
The TMR prediction function can be used to assist the selection of the act
uated suspension mechanical design parameters.