| Hydraulic pumping unit is widely concerned due to their small size,light weight,stepless adjustment of stroke and stroke,and hydraulic pumping unit based on secondary adjustment technology has good energy saving effects.Under the condition of no load disturbance,the suspension speed of pumping unit changes.If the two variable pump/motor powers are not properly matched,the electric motor will be reversely supplied to the grid.For the load disturbance condition,the electric motor torque changes.In order to prevent electric motor overload,the high-power electric motor is selected.In the actual working process,there is no energy-saving advantage of the secondary regulation technology,and the flow of the variable pump/motor connected with the load hydraulic cylinder changes,which directly affects the output characteristics of the pumping unit system.Based on the accumulator energy storage secondary regulation hydraulic pumping unit system,the above problems are studied in this paper.Firstly,different conditions such as the suspension load,stroke,crude oil viscosity and hydrodynamic surface of different oil wells in the regional well are required.After the oil wells replacement,the parameters of the pumping unit system need to be matched reasonably,the genetic algorithm is used to optimize the system parameters with the aim of optimizing the motor performance and reducing the system cost as much as possible.According to the optimization result,the system matching speed curve is debugged,and the static parameter matching visualization is realized by using the MATLAB software GUI module.Secondly,the physical model of the hydraulic drive system and the downhole mechanical system is established by using AMESim software.The mathematical model of the upper stroke and the lower stroke of the hydraulic pumping unit is established for the control algorithm of the following chapters.Under the condition of no load disturbance,the dynamic power compensation model is built according to the energy conversion relationship of the system to compensate the electric motor power in real time,and the variable pump/motor displacement adaptive adjustment of the accumulator circuit is realized.Finally,in order to solve the problem of system power matching and load stability under load disturbance conditions,a BP neural network PID control algorithm combined with the control strategy of the feed-forward control of the reduced-dimensional observer is proposed and simulated.The feasibility analysis of the control strategy is carried out by loading the simulated load on the simulation experiment platform.The results show that the power matching effect of the system is good under this control strategy,and the output characteristics meet the requirements of actual working conditions. |
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