The Research On Process Control Of Alkali-Surfactant-Polymer Compound Flooding Based On Ethernet Networked Control System

Alkali-Surfactant-Polymer Compound Flooding(ASP) oil-mine test in Daqing Oilfield is beginning in 1994. Several ASP test stations had been built, these stations lie in several oil extraction plants, which are far away from each other. In the time of Alkali-Surfactant-Polymer Compound Flooding oil-mine test, it is very important real meaning for on-time control and in-time disposal that the test station data are known in nicety and self-contained. For this reason, this research problem about Process Control of Alkali-Surfactant-Polymer Compound Flooding Based on Ethernet Networked Control System is brought out.By test and analyze Alkali-Surfactant-Polymer Compound Flooding Flow of Compound-inject Craftwork and Oil-water Separate Craftwork, the new techniques are obtained for Compound-inject Craftwork, Oil-water Separate Craftwork, Pick-out water flow and ASP antisepticise technology. The Reciprocating Pump is key equipment of Compound-inject Craftwork and the Oil-water Separate Craftwork is the main technique process. The transfer of test data and conclusion and the Reciprocating Pump Fault Diagnoses, Oil-water interface control are all realized by Networked Control System. The systems of Alkali-Surfactant-Polymer Compound Flooding Inject-extraction oil process are designed and realized.The three basic topics for discussion of Networked Control System are gave, which are influenced on performances of Networked Control System. In among the three basic topics for discussion of Networked Control System, increase of network I/O data packet delay, network packet lose probability, the fundamentality reason is network congestion.For delay analysis of NCS, delay factors are classified: send-end delay, receive-end delay, I/O delay, apparatus delay which for 4 species 13 factors; by Fuzzy Analytic Hierarchy Process(FAHP), the relative importance degree of delay factors are obtained. it is importance conference for NCS delay analysis. The paper give a essence delay measure methods based on Networked Control System, and analyze the results. By theory study, delay estimate strategy is gave, the object of state feedback and nonlinear has been simulated.This has given rise to an ever-increasing need to new applications, and especially applications involving the reliable transfer of large volumes of data from a source to multiple destinations across wide-area networks are expected to become increasingly important in the near future. A few examples are point-to-multipoint ftp, news distributions, Web caching and software updates. By use a previously developed nonlinear dynamic model of TCP to analyze and design Active Queue Management(AQM) control systems using RED. First, we linearize the interconnection of TCP and a bottlenecked queue and discuss its feedback properties in terms of network parameters such as link capacity, load and round-trip time. Using this model, we next design an AQM control system using the random early detection(RED) scheme by relating its free parameters such as the low-pass filter break point and loss probability profile to the network parameters. We present guidelines for designing linearly stable systems subject to network parameters like propogation delay and load level. Robustness to variations in system loads is a prime objective. We present ns2 simulations to support our analysis. We simulate the RED on NS2 when choice different parameter and network, the results show that RED significantly reduces packet loss, enhance UDP to fairly coexist with TCP flows.Usual method of FD is measuring vibration signal as system feature signals for fault characteristic eigenvectors pickups. Although the technology of vibration diagnosis has acquired some achievement, on the occasion of having several faults, the method has some trouble that cannot be solved. To solve this problem, some methods i.e. rough-set theory and genetic algorithm have to be used to identify specific fault and decide which pump valve has fault. The paper creatively proposes the idea of using ordinary pressure signals(pressure in valve boxes) as system feature signal to pickup fault characteristic eigenvectors and verifies the correction of the method through self-correlation analysis in the time-zone and power spectral and wavelet packet analysis in the frequency-zone. What's more, it is not easy to be disturbed by outside environment for requiring the signals from the inside of reciprocating pump cylinder. The method has special obvious advantages to diagnosis the faults when several faults exist simultaneously. Considering the character of reconstruction phase space of chaos time series, the good global searching ability of GA and the effective local searching capacity of BP neural network, the runoff FD model of BP neural network based on phase space and GA was purposed in this paper, through combining reconstruction phase space, GA with BP neural network. The paper constructs a three-layer forward neural network to diagnosis the fault and trains the network with characteristic eigenvectors extracted through the wavelet packet analysis, when training the net using the method of adding inertia item and the BP algorithm of conjugate gradient method, at the same time adapt the initial data of the network through the test. After confirm the construction and parameters of the net, the result is valid and justified through the verification using the test sample data. The paper develops the intelligent fault diagnosis system regarded the fault diagnosis factor as the center of the whole system. The main function of the data collection system developed by program is collecting field data and managing the data. And the fault diagnosis system on the basis of Matlab software platform pick up the fault characteristic eigenvectors through the method of wavelet packet analysis and realize the fault diagnosis using the technology of neural network.Based on state feedback predictive control(SFPC) algorithm, the oilfield combination station oil-water separation process with time-lag and uncertainty has been analyzed. The multi-variable SFPC algorithm of electric-dewater systems was given. Based on the theory of Lyapunov stability, A sufficient condition of delayed independent stabilization of delayed system is derived. Another representative of the theory is also given. Based on this, several simple criterions of judging linear time-lag delayed system independent stabilization are presented. We also discuss the exponential stability for delayed system, and give the exponential stability sufficient condition with specified decay rate and its corresponding corollaries.The virtue of this method in engineering is modeling briefness, optimize counts smallness and keep the security of control.