潜油电泵无模型自适应控制
[Abstract]:Petroleum industry is the lifeblood of a country's economic construction, all countries are vigorously developing petroleum industry. With the rapid development of modern science and technology, the petroleum industry is moving towards integration, automation and high efficiency. Oil production is an important link in the petroleum industry, with a pivotal position. Because the downhole environment is very complex and the influence of temperature and pressure on crude oil production is great, it is necessary to control the whole process. The basic structure of the submersible electric pump is that the submersible motor and the centrifugal pump are connected in series. This paper takes the submersible motor and the centrifugal pump as the research object, establishes the double closed loop control system, and then applies the modelless adaptive control method. To further improve the performance of the system. By studying the model-free adaptive control method, it is clear that it only uses the input and output information of the system to work. On this basis, starting with three methods of dynamic linearization modeling, the controllers based on different methods are studied respectively. The tuning method of control parameters is summarized by experiment. Based on the above work, the control simulation experiment is designed, and the three models-free adaptive control schemes are applied respectively. The experimental results are compared and the advantages and disadvantages of the three schemes are analyzed. The depth of the submersible electric pump is more than 2 km. The temperature of the submersible pump will change greatly because of the influence of the environment and the motor itself. The change of temperature will lead to the change of the resistivity of the metal and the change of the resistance of the stator and rotor of the motor. In the control system, the model parameters of the controlled object change and belong to the problem of parameter perturbation. In order to solve this problem, after analyzing the mechanical characteristics of the constant voltage frequency ratio control mode, the model of submersible motor variable frequency speed regulation system is established, and the influence of temperature change on resistance is analyzed in detail. On this basis, the full-format dynamic linearization model-free adaptive controller is used to control the submersible motor to reduce the effect of temperature change on the speed regulation performance of the system. The feasibility and superiority are verified by experiments. The submersible electric pump works in the complex environment of high temperature and high pressure, the crude oil will move to the pump mouth under the action of formation pressure. In this process, the bottom-hole flow pressure will decrease. If the bottom-hole flow depresses the saturation pressure of the gas in the crude oil, it will cause a large amount of gas to precipitate and vaporize. This is very dangerous for centrifugal pumps. By controlling the pumping capacity of submersible electric pump, the balance of downhole pressure environment can be maintained. In this paper, the underground pressure system and submersible pump are analyzed and mathematical models are established. Considering the noise disturbance in the pressure feedback signal, the anti-jamming strategy is added to the original model-free adaptive algorithm to improve the control effect, and the feasibility of the algorithm is verified by experiments.
【学位授予单位】:沈阳工业大学
【学位级别】:硕士
【学位授予年份】:2015
【分类号】:TE938;TP273
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