Design And FPGA Implementation Of PID NN Control System Of Electric Gas Regulator

The development and utilization of the clean energy of natural gas is a major strategic decision for adjustment of energy structure and development of low carbon economy in China, and also bringing new opportunities and challenges to the construction and development of gas transmission and distribution system, with a series of major gas transmission project implemented, such as "West-east gas transmission", "Burmese as engineering", "Sichuan-East Gas Transmission", "Shanxi-Beijing gas transmission" and so on. As a key point in the process of gas transmission, more and more attention are paid to the security and the efficiency of the gas pressure regulator. The current gas distribution system usually uses traditional mechanical(direct or indirect) gas regulators, leading to poor stability and low precision. It results in a tremendous waste of energy by the gas calorific value decreased. At the same time causes environmental pollution, by producing large amounts of carbon monoxide, even bringing safety problems. Therefore, improving the pressure regulating performance of the gas pressure regulator has become a front subject in the field of gas pressure regulating technology.Based on the in-depth study of the existing voltage regulating technology and control theory and taking the gas pressure regulator as the research object, we propose and design a new model of electric control, and explore new theories and new methods sloving electric gas pressure control problem, and put forward a kind of gas regulator scheme based on PID neural network gas pressure measurement and control, also use FPGA implementing the PID neural network in gas pressure through real-time measurement and control. The research work of this paper expectets to enhance the technical level of the gas regulator, and in order to improve the real-time performance, accuracy and reliability of gas pressure, and provide a scientific basis for the engineering design of gas regulator voltage regulator.It has important theoretical value and practical significance to promote gas regulator design theory and application levels in our country.The main work of this paper includes: Studying on the gas pressure regulating the echnology to build a scheme of electric intelligent control of gas pressure. Studying common PID control technology in the industry to analysis the digital algorithm of PID control. According to the specific application problems in existing control algorithm in electric gas pressure measurement, studying the algorithm of artificial neural network, combining the artificial neural network and PID control rules, build a gas pressure regulating control algorithm based on PID neural network. Comparing traditional PID control algorithm and PID neural network algorithm by MATLAB, prove the PID neural network has better performance than the PID control. At the same time, the algorithm is realized by FPGA hardware platform. At last, based on the pressure adjustment of gas pressure control system, make the whole module load simulation and use system simulation model by putting gas pressure regulator in. The results show PID neural network control module with high level of control precision and real-time. Solve the problems of intelligent control in arge time delay, nonlinear pressure regulating system.At the end of paper, we summarize the study on this subject, and discuss the next step of the work.