Lubricating Oil Temperature Control System And Its Realization Based On Fuzzy Control Method

This paper mainly discusses the oil temperature controlling system for oil lubracation.According to the actual requirement, it is necessary to keep the oil temperature in a certain scope, particularly,the temperature fluctuation is desired to be accurately controlled to be within±5℃when working. As the maximum oil temperature is 60℃, and it is complex to estimate the influence of each hydraulic part on the oil temperature, so the oil temperature controlling has become a bottleneck problem in this project.Firstly, based on the integral design for the lubricant oil system's temperature controlling methods and its equipments, this paper chooses PLC as the core for signal collecting and processing system. As to ensure the final accuracy, multi fuzzy controllers are placed in series, so the temperature fluctuation is reduced gradually.As to the hardware design of the control system, a data acquisition and processing system is designed, which is used to collect the temperature signals of the lubricant oil system in different places. The data acquisition system includes many modules such as power supply module, CPU, analog iutput module, analog output module, digital iutput module, digital output module etc. The design method for all of these modules is probed in detail.This text has narrated the development overview of the fuzzy control theory and development trend briefly, have analysed characteristic, difference and one's own advantages and existing problems of fuzzy control technology and traditional control technology, providing the design method and improve measure of performance for the fuzzy controller.As to the controlling method, this paper made an attempt to compare three kinds of fuzzy controlling method to be applied in the temperature controlling system, including General Fuzzy Controller, Auto-tuning Parameter Fuzzy PID Controller and Self-adjusting Parameter Fuzzy Controller.By using Matlab, the text proposes carry on systematic design and emulation to the oil temperature. And they have study and put forward the method to improve fuzzy controller. The simulation results show that the Fuzzy PID controller has better robust performance, faster response_speed, so Fuzzy PID controller is choosed finally.The simulation results show that it is possible to achieve the anticipativecontrolling performance by applying the fuzzy controlling method in this system. It combines the PID controlling method and people's experience together; it can meet the demands of industrial production. So it is feasible and practical.Finally, according to the complicated environment of the system working site, have proposed having hardware implementing scheme of stronger anti-interference ability and software design.