Despite the hydrodynamic lubrication is a self-controlled process, we designed control systems with the adaptive
PI and a DQN-agent based controllers to minimize the rotor
oscillations amplitude in a conical fluid film bearing. Design of the bearing allows its axial displacement and thus adjustment of its average clearance. The tests were performed using a simulation model in MATLAB software. The simulation model includes modules of a rigid shaft, a conical bearing, and a control system. The bearing module is based on numerical solution of the generalized Reynolds equation and its non-linear approximation with fully connected neural networks. The obtained results demonstrate that the both the adaptive PI controller and the DQN-based controller reduce the rotor vibrations even when imbalance in the system grows.