Payload-agnostic decoupling and hybrid vibration isolation control for a maglev platform with redundant actuation

Payload-specific vibration control may be suitable for a particular task but lacks generality and transferability required adapting to the various payload. Self-decoupling robust are crucial problem achieve payload-agnostic control. However, there problems still unsolved. In this article, we present maglev isolation platform (MVIP), which aims attenuate in under dynamic environment. Since efforts trying suppress disturbance will encounter inevitable coupling problems, analyzed reasons resulting it proposed unique effective solutions. To control, new strategy, is main contribution of article. It consists self-construct radial basis function neural network inversion (SRBFNNI) decoupling scheme hybrid adaptive feed-forward internal model (HAFIMC). The former one enables MVIP creating self inverse with little prior knowledge achieving self-decoupling. For structure MVIP, stated addressed by HAFIMC, utilizes part deal periodical mode stability.