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Displacement Control For Adjustable Guide Vanes Electro-hydraulic Servo Pump Control System

Posted on:2021-04-13Degree:MasterType:Thesis
Country:ChinaCandidate:P H ZhaoFull Text:PDF
GTID:2392330611471311Subject:Engineering
Abstract/Summary:PDF Full Text Request
As a key power source and core equipment in the industrial field,gas turbine devices are widely used in the aviation,shipbuilding and power industries,and bring many new opportunities for the development of the national economy.Inlet guide vane(IGV)is an important component of gas turbines.The precise control of its angular position plays a vital role in improving the performance of gas turbines.It has the advantages of improving the unit's surge margin and reducing startup.Power to ensure the stability of the unit and improve the overall efficiency and other important functions.Electro-hydraulic servo closed pump control system(Electric-hydrostatic actuator,hereinafter referred to as EHA)is a highly integrated pump control drive unit,which is extremely important in aerospace,robot drive,rail transportation and other industrial fields Important application,which has the technical advantages of high power-to-weight ratio,high integration,environmental friendliness,and high efficiency and energy saving compared with traditional valve control systems.Product modification provides theoretical guidance and technical support.This topic focuses on the research of the position control method of the transducible vane EHA.Since the EHA is a volumetric speed control using a servo motor driven quantitative pump mechanism,the system dynamic characteristics such as low speed stability and low frequency response exist in the position closed-loop control process.Directly affect the high-precision control of the system.Therefore,this paper proposes a fuzzy equivalent sliding mode variable structure control algorithm based on exponential reaching law to realize the high-precision control of the EHA position of the guide vanes.The main research contents of this article are as follows:(1)Based on the working principle of the transducible vane EHA,the vector control method and the mechanism modeling method are used to establish the mathematical model of the servo motor and the pump control hydraulic system model.(2)Taking the system output displacement and pump speed as the main variables,the parameter self-identification method is used to optimize the exponential approach law coefficient online,compensate the position loop equivalent control part,and reduce the system response time;The stability design fuzzy switching control part is used to suppress the chattering defects of the sliding mode variable structure control,improve the positioning accuracy of the system during steady-state operation,and verify the effectiveness of the improved sliding mode variable structure control method by means of simulation.(3)Build the experimental platform,use Simulink to design the ordinary sliding mode variable structure control and the improved fuzzy equivalent sliding mode variable structure control algorithm,and download it to the moog axis controller software for prototype experimental research.The results show that in the step under the signal and sinusoidal signal,the improved fuzzy equivalent sliding mode variable structure control has the advantages of obvious small error,short response time,and basically no overshoot compared to the response curve obtained by using the ordinary sliding mode variable structure control.Through experiments the results are compared with theoretical analysis and simulation results,which verify the correctness of the control algorithm.The research in this paper will help promote the promotion of EHA technology in the field of gas turbines,and has important theoretical guidance and practical significance for the upgrade of the position control technology of the guide vanes and the optimization of equipment.
Keywords/Search Tags:inlet guide vane, electro-hydrostatic actuator, position control, sliding mode variable structure control, fuzzy control, parameter identification
PDF Full Text Request
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