The Horizontal Control Of Shengli Oil Platform Jack-up Process

As people improved quality of life, people will demand more and more for oil and its by-products. All countries have to enhance the development of oil in a strategic position, and increase the intensity of exploitation. Clearly, as a tool of the oil exploitation, offshore oil platform has a high economic significance. Offshore oil platform is the main part of the oil exploitation, so doing the research of the platform will enhance the stability and accuracy of the offshore oil platform jack-up system. Because there is no related analysis with the control of the oil platform, this paper will address the topic in-depth study.The topic of the dissertation comes from the cooperation project of Guangdong University of Technology and Sinopec Shengli Petroleum Administration Underground Operating Company. This paper first briefly introduces the jack-up system of Shengli NO.3 working platform. Then establish the mathematics model for the system and choose the ITAE twice optimum control to control the jack-up system according to the model. From the simulation result we can see that the stability and the robust of the system are better than that of the Smith estimate controlled.The jack-up system of the oil platform is a very complicated system. Established an accurate mathematics model has a very big influence of the system control. The paper first makes level decoupling for the oil platform jack-up system, and get the speed's compensative signals of three legs. Then establish a mathematics model for the servo valve-controlled motor system and speed reducer. At the end, we get the total mathematics model of single leg control system, and do some proper transformations for the model. At this time, we can see that the mathematics model is a large time-delay system. Aim at the large time-delay system, I choose the ITAE twice optimum control to control the system after comparing. Twice optimum control has the good control result on the large time-delay system, but the object of this method is one rank inertia add time-delay system. So in chapter 4 I adopt the optimum decline rank method to deduce the system model first, and then designed the twice optimum controller with calculation the parameter. At the end, I study the robustness of twice optimum control.For the control strategy that the front chose, the last chapter established the emulate model of twice optimum control in SIMULINK and simulates the system. Since the simulation result, we can see that the control effect is not too good by using the controller with the parameters calculated according to the formula in chapter 4. After adjusted the parameters of the controller with a little, the system has a good control effect. Through comparison with Smith estimate control, for the system we research, the system with ITAE twice optimum control has good performances to Smith estimate control on stability and robust.