The Fuzzy Control And Experimental Research On Excavator Working Device

Hydraulic excavator has become the most widely used class of earthworkconstruction equipment because of its feathers of highcost-effective and highadaptability.However, the hydraulic excavator that is currently widely used in ourcountry is mainly operated by operatives, such practices cost of manpower, material,and it is difficult to ensure the quality of high-precision operations, therefore, on theexcavator automation, intelligent control research will have a real practicalsignificance.The project is based on the experimental hydraulic excavator model ofThe Engineering Machinery Laboratory, and we seek to explore the precise controlmethod for an effective trajectory of the excavator working device by way ofsimulation analysis and experimental research.The research is based on the kinematic analysis of the excavator working device,considering the environmental characteristics of the excavator when it’s working, weproposed two improved fuzzy control strategy based on the fuzzy control theory, andwe have an in-depth discussion.In order to have an in-depth research of the FuzzyPID and FuzzySOC,this studyusesa method that combineCAD and Simulink to establish a simulation model. Takinginto account that the usual simulation were conducted under ideal conditions, whilethe study of the excavator make sense only when considering the actual workingconditions, so this subject simulate the actual working conditions and using thesimulation embed the control algorithmsto launch simulation experiments.In order to have experimental analysis onthe experimental platform, we makeperformance test of the laboratory equipment’s electro-hydraulic system, and wedrawn electronically controlled component terminal equipment and terminal blockwiring diagram form, and based on these, we made an electrical control box tointegrate the electric control system. In order to simulate actual working conditions ina laboratory environment, we madean actual working conditions simulator. Finally, wewrite the visible program by VC2008, embedded designedcontrol algorithm, and usethe model to make experimental research.Experimental results show that the modified fuzzy control algorithm have ahigher accuracy and anti-jamming capability compared with the classical PID controlalgorithm, in addition the FuzzySOC control algorithm has the best controlperformance of all, and because of its easy to understand, simple structure, it has agreat value of engineering application.