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Festo, Tp701 Hydraulic Experiments Taipower Hydraulic Position Control System

Posted on:2007-04-02Degree:MasterType:Thesis
Country:ChinaCandidate:Z ZhaoFull Text:PDF
GTID:2192360215986472Subject:Mechanical and electrical engineering
Abstract/Summary:PDF Full Text Request
In the development process of modern technology and manufacturing technique, metalwork equipments, engineering machines, the metallurgy machines etc. require more and more urgent for the technology of the hydraulic positive control of the high accuracy. The basic request of the position control system is that a system can arrive quickly, steadily and accurately to the fixed position. It requests the fixed position of the system is accurate, time is short, overshoot is small, the credibility is high, the anti- interference ability is strong. How to carry out an above-mentioned control request is the topic that this text needs to be solved. The research work of this thesis carrys on around the development of the FESTO TP701 hydraulic experiment platform control system in the mechanical and electrical department. It takes carrying out accurate fixed position of the cylinder piston pole taking the load which controlled by proportional valve as the purpose. Research and compare the difference of dissimilarity control strategy to system control characteristic. During the period of study, the work includes the theories research and experiment validation.The research mainly carries on from following several:(1)Design a hydraulic system and control system project according to the demand of the research, and establish electro-hydraulic proportional position control system principle diagram and system control frame diagram, and analyze the structure characteristics and technique parameter of the proportional valve and cylinder in the hydraulic system. Analyses the system model later on and does an assumptive analysis,Sets up the mathematics model of the system with the mechanism method. Simplify the model in order to get the open-loop deliver function of system.(2)Fix on the system model parameters, and analyse the basic control characteristic of system by simulating mathematics model of the experiment platform. Design the fuzzy self-turning PID controller based on this experiment platform by analyzing the fuzzy control theory and the influence of three parameters upon the system static state and the dynamic state function. Combine the fuzzy PID algorithms and MATLAB together, which provide intuitionistic and accurate simulation means for the complicated control. By contrasting the control curves of contrast fuzzy PID control and the PID control, analyzes the advantage of fuzzy PID control.(3)Research the optimal state feedback control strategy based on the electro-hydraulic proportional position system, and use the method of filter wave to take parameter, also design the lower dimension acceleration identify observer. Further apply the principles of linear-quadratic optimal control to calculate the control parameters, and simulate system to get the optimal control response diagram of step. Compared with the fuzzy PID controller, we get the conclusion of which controller is applicable to this system.(4)Build up the experiment platform system and the software control interface based on FESTO TP701, including electro-hydraulic control part, the hardware and the software design of the computer control part, also compile the data acquisition and real time control procedure with the VB language, and build up a man-machine control interface. Demarcate the displacement sensor and test main experiment equipments. Realize the digital control of electro-hydraulic proportional position control on the experiment system, and analyze the result data that the experiment get, and compare with simulation result. Join the interference further,and change the initial condition of the system, and compare the influence of the different control method to the system, and explain the conclusion.
Keywords/Search Tags:Electro-Hydraulic Proportional Valve, Positive Control, Fuzzy PID Control, Linear-quadratic Optimal Control
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