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Analysis On The Parameter Identification And Dynamic Characteristics Of The Diesel Engine Electromagnetic Speed Actuator

Posted on:2014-07-26Degree:MasterType:Thesis
Country:ChinaCandidate:L Y ZhangFull Text:PDF
GTID:2252330425966121Subject:Marine Engineering
Abstract/Summary:PDF Full Text Request
Electromagnetic actuator system, such as governor electromagnetic actuator, solenoidactuators, solenoid valves, proportional solenoid, take control of the target object bytransferring electrical energy into magnetic energy which then be converted into mechanicalenergy. Electromagnetic actuator system are widely used in various field of mechanicalengineering as the implementing agencies of position controlled electronically fuel injectionsystem and time pressure control electrically fuel injection system, because it has theadvantages of simple structure, easy to maintain and operate, high control accuracy, low errorrate, and high reliability. With the constant increase of scientific and technological progressand social needs, there are higher requirements in the aspects of control precision, long life,energy consumption, fever, and manipulation linearity, dynamic and static characteristics forelectromagnetic actuator system.Firstly, the passage identifies the errors of the parameters and uses the response times ofthe actuator measured and the theoretical values to create a time error matrix. Create thestructure error Jacobian matrix of the electromagnetic actuator basing on the structure of theresistance value, the number of turns, working air gap margin, the quality of the moving parts,spring preload, spring stiffness parameters. Then combine the time error matrix with theresults of the error Jacobian matrix, and using the least squares algorithm to identify thestructure of the actuator model error value.Secondly, identify the coil turns of the actuator, the quality of the moving parts, thestiffness of the spring, spring preload parameters by using recursive least squares algorithm,which also pluses different forgetting factor algorithm. Then make a comparison of theforgetting factor value with the recognition result of synchronization, the recognition result isthe closest to the true value when the forgetting factor is0.95. And the error of recognitionresult obtained and the true value is less than5%when the forgetting factor is0.95in the coilresistance and coil turns identification formula.Thirdly, establish the two dimension transient simulation model with the data identifiedpreviously and obtain the dynamic response times of the electromagnetic actuator in differentdriving voltages by specific meter. When compared the simulation values of the actuatorswith the measured values under different driving voltages, the result shows that a deviationbetween the actual measured value and the simulation value is very small under differentdriving voltages, which proves the correctness of the model structures.Finally, the dynamic analysis of the different parameters of the electromagnetic actuator characteristics is based on the two software co-simulation and analysis the impacts of eachparameters by changing the drive voltage quality of the moving parts, the remainder of theworking air gap, spring stiffness, spring preload, resistor, coil turns and other parameters.Drive voltage margin of the working air gap, number of turns, resistor have greater impact inthe dynamic response time of electromagnetic actuator.
Keywords/Search Tags:electromagnetic actuator, Ansoft, finite element, dynamic characteristics, parameter identification
PDF Full Text Request
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