Research And Simulation On The Brake Test Bench Pneumatic Brake System

Along with social progress and the development of technology, cars have become an inseparable part between the human beings. However, cars have brought convenience for people, while it also brought numerous traffic accidents. From the eyes of the accidents, which because the automobile brake is one of the main reasons, Within taking the brake performance test, to ensure the safety of car travel is very important significance, In this paper, the detection of brake performance of electric brake test-bed inertia control system and pneumatic control algorithm is studied.Firstly, the pure mechanical inertia platform simulation all from the flywheel moment of inertia, caused by inertia adjustment difficulties and great error in the test, to handle it from the introduction of electric inertia control system. To realize the control system of electric inertia torque, speed and energy method, are analyzed, based on the advantages and disadvantages of three methods and the characteristics of the brake test bed itself. Choose the torque method and admit direct torque control technology to realize the electric inertia control system. On the basis of the comprehensive resistance torque measuring method of moment of inertia system are studied, in the process of test motor is adopted to compensate, and to control related experiments. Experiments show that the control system of electric inertia, reduced the number of inertia plate adjustment,eliminate flywheel is differential, to improve the control precision of the system total moment of inertia.Furthermore, the brake pressure control algorithm is studied. In view of the traditional PID control algorithm with large inertia, pure lag and work were a variety ofworking conditions of air pressure control system cannot achieve good control effect,designed a Smith forecast compensation self-tuning fuzzy PID controller the self-tuning fuzzy PID controller to realize real-time adjustment function of the three parameters of PID, while Smith estimates pure lag compensation to eliminate air pressure control system of the dynamic problem. Through the study of the theoretical analysis of pneumatic control system, to determine the pressure control system model structure,pressure based on the actual operation data, model parameters is established by system identification to establish the mathematical modeling of pneumatic control system.In MATLAB environment, it has carried on the simulation research. The simulation results show that the improved controller, compared with the traditional PID controller, the pressure control system dynamic performance and steady-state performance achieved good control, verify the feasibility of the algorithm. Design tools in MATLAB, using the graphical user interface(GUI), the design of the pneumatic control system simulation platform user interface(GUI), allows the operator to convenient for the pressure of the pneumatic control system control parameters setting,according to set the parameters of the simulation study, air pressure control system of the experimental data, the pressure of the simulation curve and the dynamic and steady-state performance index in the user interface for display and allow the operator to the results of the simulation more intuitive and comprehensive control, pressure control system of experimental data stored in Excel spreadsheet. At last, the hardware and software of pneumatic braking system are designed.