| China’s high-speed rail transportation has been rapid developed, high speed, safety and comfort are the core competitiveness of high-speed rail transportation system now. When the train running in line with high speed, due to the train passing or through tunnel, the air pressure around the train will generate dramatic changes, the dramatic changes in air pressure will be introduced to inner space of the car through doors and windows sealing lax and air conditioning and ventilation system, which will influence the passenger ride comfort.The pressure control system of the simulation test rig for comprehensive comfort main function is, using advanced measurement and control technology to simulate and realize the typical operating conditions of the air pressure inside the car when high speed train at run time repeatedly, and researching the relationship between the passengers ride comfort and vehicle air pressure changes, in laboratory. The main work of this thesis is designing a feasible system overall scheme according to the technical indicators of the pressure control system and field conditions, and begining to carry out the previous control system design and simulation of the designed control algorithm for pressure control system. The main research contents are as follows:1. According to the technical indicators of the pressure control system, as well as the existing condition and equipment of test rig filed, identified the overall scheme of the system through the analysis of the flow demand, including gas pipelines implementation scheme and measurement and control scheme. Illustrated the system working principle combined with the designed scheme, and introduced the main equipment selection and performance.2. Established the mathematical model of the pressure control system key equipment and parts according to the designed scheme of hardware system and the basic theoretical knowledge of fluid mechanics, mainly included:positive and negative pressure gas tank, the test car, fan system, gas valve and gas pipelines.3. According to the periodic repetitive characteristics of the loading waveform curve of the pressure control system, determined using iterative learning control (ILC) algorithm for the control system design. Proved the relationship between the convergence speed of the ILC algorithm and the initial control input value through theoretical derivation. Analyzing the big data characteristic of the pressure control system operation historical running data, established the system’s historical running database, and proposed a big data optimization ILC algorithm including condition matching algorithm and ILC initial control input value optimization algorithm.4. Established the physical abstract simulation model for the pressure control system according to mathematic model with MATLAB/Simulink software. Accomplished the software implementation of the proposed big data optimization ILC algorithm, realized the interconnection of control algorithm and simulation model, the eventual simulation model of physical abstract-control algorithm simulation was established for the pressure control system.5. Designed the system’s measurement and control software with Lab VIEW virtual instrument development environment, completed the preliminary debugging of the designed software in the laboratory, and accomplished the field equipment installation.The simulation analysis with PID control, fuzzy control and traditional ILC results show, the proposed big data optimization ILC algorithm in this paper has faster convergence speed and better control precision. Further simulation results show that:the proposed big data optimization ILC algorithm in this paper has good load adaptability and optimization characteristics, and also has strong self compensation ability to system model perturbation. |
PDF Full Text Request