| Shield tunneling machine involves many applied technologies such as mechanics, electronics, control engineering, hydraulic, civil engineering, communication, etc. As a machinary specially used in tunneling, shield tunneling machine implements the automatical process of cutting the rock, supporting the tunnel, conveying the soil and controlling the land subsidence. At present, china has entered the rapid urbanization development stage, consequently a number of shield tunneling machines are in need. However the level of national development is far away from overseas in the manufacturing and research of the shield. Because of experiments at the construction site to bear high security risks and great economic cost, the physical simulation is the basis to master key technologies. Therefore it is necessary to build up a test rig to provide references for the design, manufacturing and construction of the shield.In this paper, the structure and hydraulic designs of the shield tunneling test rig are completed with the method of theoretical calculation and three-dimensional modeling. The monitoring and controlling system is build up by use of software programming. Based on BP neural network, a strata recognition model is established using theoretical analysis and experimental data, which is need for intelligent control. The fuzzy PID controller of the cutter speed is built up, furtherly simulation on the performance of the control system is studied. The main research content of this paper is as follows:In the first chapter, the principles of shield construction and development process at home and abroad are firstly introduced, and then shield tunneling test rig is described. Moreover the strata identification and subsequent cutter speed control technology are elaborated in detail, and on this basis, the research significance and content of the subject are proposed.In the second chapter soil box system is designed to simulate the geological environment, which consists of soil box body, the earth pressure loading system, water pressure loading system, electronic control system and other components. The structure of soil box is designed by SolidWorks software, and the design of the earth pressure loading system is completed by theoretical calculation. Demand for control, the selection of main hardware for electronic control system is accomplished, moreover the electrical control procedures is designed by use of Labview software. In the third chapter, the structure of the simulation shield is designed by SolidWorks software, which mainly consists of the Cutter system, thrust system, screw conveyor system. According to theoretical calculations, the hydraulic system of the simulation shield and three-dimensional design of pump station are established.In the forth chapter, firstly the relationship between thrust force, thrust speed, cutter torque, cutter speed and the strata is analyzed. The results show that:the situation of strata is difficult to be judged simply by either parameter. Based on BP neural network the strata recognition model is established with the adjacent sampling data of eight driving parameters for the input and strata code for output. The strata recognition model is trained with 60 groups of data, which is also checked with another 30 groups of data, furtherly the total recognition rate reaches 93%. The results showed that:the strata recognition model based on BP neural network can establish the nonlinear relationship between the strata and driving parameters to identify the strata.In the fifth chapter, the convertional PID controller and fuzzy PID controller for the cutter speed are built up separately on the basis of the analysis of a certain type cutter hydraulic system. Then the simulation model is established with Matlab and AMESim softwares. Simulation results show that:in a single formation, the cutter speed can achieve a good state accuracy both with conventional PID control and fuzzy PID control, but cutter speed has a faster response with the fuzzy PID control; while in changing formation, cutter speed with fuzzy PID control has better characters in terms of response speed, robustness, precision than conventional PID control. Cutter speed with fuzzy PID control can obtain online parameter adjustment, moreover providing a new idea for the realization of intelligent control of cutter speed. |