基于MFAC潛油泵生產(chǎn)過程控制
[Abstract]:With the rapid development of China's economy, the demand for energy consumption in various industries is increasing day by day. Oil, which is favored by the world as an "industrial blood", is an important raw material for processing and manufacturing. As a natural resource and global strategic material, petroleum plays an important role in the competition of national comprehensive national strength. Although the oil storage in our country is very sufficient, with the increase of exploitation intensity and the passage of time, the existing underground oil storage is not enough to realize self-injection, and the bad environment of underground high temperature and high pressure affects the exploitation control system. The natural state can no longer meet the needs of the economy. Therefore, it has become a common concern of domestic and foreign experts to improve the control process of crude oil production, enhance the anti-interference of the production process control system and realize the fine control of oil production. First of all, this paper introduces a closed loop system based on modelless adaptive control of submersible pump, which considers that the submersible electric pump works in a complex high-temperature and high-pressure environment and a data-driven control method is proposed. A modelless adaptive control based on the input and output data of the controller and not limited by the mathematical model of the controlled object. As the core equipment of crude oil production, submersible electric pump is mainly composed of submersible asynchronous motor and centrifugal pump. It has the advantages of high temperature and pressure resistance, corrosion resistance, high lift and long distance production. However, the dynamic change of temperature and pressure is the most important factor affecting the whole production control process of submersible pump. In order to improve the production efficiency and the stability of the system, the closed-loop control system of the submersible pump based on model-free control is designed. By verifying the influence of the change of downhole pressure parameters on the oil recovery system, the system ensures energy saving and efficient oil recovery and stable and safe operation. Secondly, from the point of view of improving the robustness of model-free adaptive control. Although the modelless adaptive controller is well applied in submersible pump, the actual problems of the existing system are downhole noise and data loss. Although there is no need to know the mathematical model information of the controlled system, the uncertainty of the input data of the controller will directly lead to the error of the system output data and the untruth of the waveform. In order to improve the stability and robustness of the system, the existing model-free adaptive control submersible pump system is improved from the aspects of analog measurement noise and simulated data loss. Finally, the simulation software Matlab/Simulink is used to simulate the model-free adaptive control submersible pump system with differential tracker and the submersible pump system with data loss compensation control respectively. The results show that the control system has better dynamic robustness and better performance.
【學(xué)位授予單位】:沈陽工業(yè)大學(xué)
【學(xué)位級別】:碩士
【學(xué)位授予年份】:2017
【分類號】:TE933.3
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