Study On Journal Centre Trajectory Test And Control Algorithm Of Sliding Bearing

Non-circular cross-section structure of parts can significantly improve its performance and service life, so its machining in the mechanical manufacturing industry plays an important role, but the machining of parts is also of difficulty.In this paper, we began with the trajectory control of hydrostatic spindle of the hybrid bearing system with four oil chambers, studied the active control of the rotor trajectory to provide a new method for the machining of non-round heterosexual parts, and we were engaged in designing and building the experiment,testing,and the theory model analysis,simulation,experimental verification.By controlling the active movement of the journal, we came up with a new method for the realization of the machining of non-circular shaped mechanical parts. The idea is that through active servo throttle controls technology, servo valve adjusts the fluid’s flow rate and pressure into the hybrid sliding bearing in real-time, affects the bearing seal oil surface film pressure distribution, consequently controls the resultant of film forces in order to control spindle fixed trajectory.We studied the bearing system, deduced the typical4-recess hybrid bearing’s pressure distribution conforming to Reynolds equation,and the film thickness equation has been also derived.Using the differential method,we calculated eccentricity chamber pressure constant,calculated the resultant, and drew the pressure distribution graph under diverse eccentricity ratio.In this paper, I also designed the journal displacement test experiment platform which involves multiple modules consisting of the hydraulic module, the sliding testing module, and the computer data acquisition module. We also completed the calibration of the capacitive displacement sensor and the welding of the Endevco8150B-2000type piezoresistive sensor’s9-pin connection. Through the experiment, we collected the journal’s displacement at different speeds and different pressures and acquired the data which we processed by adapting Fourier analysis and filter to draw its graphics in time domain and frequency domain.I studied the control’s methods of the hybrid bearing system, described some of the control theory in detail. We build a PID model in simulink and compiled the PID control algorithm which based on BP neural network, also did the simulation to the system model. The simulation results show that the PID control algorithm based on BP neural network with the better results than PID in the hybrid bearing controlment.In the last chapter, we designed a control system graphics for the sliding bearings. We designed the real-time control of the journal trajectory, through the xPC Target-based hardware in the loop for simulation. We also build xPC Target simulation platform and proposed a variety of production methods for xPC boot disk.