Research on control strategy of an active magnetorheological fluid bearing based on improved gray wolf optimization approach

In order to address the problems of insufficient load capacity and rotor vibration, an active fluid-film bearing lubricated with magnetorheological fluid (MRF) is proposed. First, geometry MRF designed its intelligent lubrication mechanism analyzed clarify advantages. addition, mathematical model bearing-rotor system derived, FEM utilized obtain stiffness damping coefficients supplement model. Moreover, improved gray wolf optimization (IGWO) algorithm developed tune PID controller parameters. The validity proposed method verified by numerical simulation. Furthermore, simulation results show that increasing current magnitude, orbits shaft center decrease. Under presence magnetic fields, can converge a point, therefore this has ability suppress vibration. Finally, IGWO-PID better response characteristics than GWO, PSO, GA algorithms, hence IGWO find more appropriate parameters, further proved. Therefore, research findings provide new reference for vibration control in field journal lubrication.