شماره مدرك :
6124
شماره راهنما :
5733
پديد آورنده :
آبشاري، روح الله
عنوان :

كنترل سرعت موتور سوئيچ رلكتانس با استفاده از كنترل كننده عاطفي با هدف كاهش ربيل گشتاور

مقطع تحصيلي :
كارشناسي ارشد
گرايش تحصيلي :
قدرت
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر
سال دفاع :
1390
صفحه شمار :
نه،102ص.: مصور،جدول،نمودار
يادداشت :
ص.ع.به فارسي و انگليسي
استاد راهنما :
مرتضي سقائيان نژاد
استاد مشاور :
مهدي معلم
توصيفگر ها :
BELBIC
تاريخ نمايه سازي :
8/5/90
استاد داور :
محمد ابراهيمي، بهزاد ميرزاييان
دانشكده :
مهندسي برق و كامپيوتر
كد ايرانداك :
ID5733
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
103Speed Control of Switched Reluctance Motor with Brain Emotional Learning Based Intelligent Controller Considering Torque Ripple Minimization Rouhollah Abshari r abshari@ec iut ac ir Date of Submission 09 05 11 Department of Electrical and Computer Engineering Isfahan University of Technology Isfahan 84156 83111 Iran Degree M Sc Language FarsiSupervisor Dr Sayed Mortaza Saghaiannejad saghaian@cc iut ac irAbstract The switched reluctance motor SRM have attracted many researchers over the last decade This is due toits many advantages such as simple and robust construction low inertia high speed high temperatureperformance low costs and fault tolerance control capabilities However several disadvantages likeacoustic noise generation torque ripple nonlinear characteristics and the strong dependence on rotorposition to achieve a good control are limiting its utilization compared to other kind of motors Torqueripple in low speed Cause to fluctuation in motor speed and fatigue Thus a lot of methods have beenproposed so far for torque ripple minimization in switched reluctance motors There are two methods toimprove the performances of SRM drive systems The design procedure for SRM has been explored indetail to try minimizing the torque ripple A lot of control techniques proposed for ripple reduction Thenonlinear factors are the doubly salient structure and extreme saturation back EMF so these motors arehighly nonlinear plant for the controller design The purpose of this thesis is to propose a method forcontrolling the motor speed with reduced electromagnetic torque ripple First a review on researchopportunities and torque ripple reduction methods is given and then the operation principle and modelingof the motor is discussed For this purpose to be achieved a proper model able to express the nonlinearityand saturation of the motor is required In this thesis the required model is based on the data points of a4KW 6 8 motor These data points are obtained by the means of finite element analysis FEA and theirvalidity is confirmed by experimental tests Afterwards a review and comparison is done on Differentswitch reluctance motor s converters and the specification of the converter applied in this thesis ssimulations and experimental tests is discussed Initially a normal PI controller has been used to control thespeed in matlab simulink software then to counter the uncertainties and nonlinearities in the model anemotional learning controller is applied to reduce the torque ripple of the PI controller Being Non modelbased the BELBIC Brain Emotional Based Intelligent Controller controller is a good choice forcontrolling non linear systems Also this controller has a large freedom factor to reach the final desirableanswer in terms of overshoot settling time steady state error and soft starting This Controller has shownreasonable robustness and uncertainty handling abilities While it is simple and can be implemented easilyand being unaffected by noise has made this controller an ideal choice to be used in precision motor driveapplication compared to the conventional PID controller Simulated results show that the emotional learningcontroller has a better performance in terms of system response and torque ripple In addition formodifying the transient state and improving dynamic response the emotional learning controller is used incascade form with the PI controller to indirectly control the motor torque In this case the output of the PIcontroller is compared with the estimated machine torque and then is applied to the emotional learningcontroller The simulation results confirm the improved performance of the speed control loop and reducedmotor torque ripple Finally the proposed methods are applied experimentally on a switched reluctancemotor using a TMS320 F2812 Digital Signal Processor The experimental results confirm the improvedperformance of the BELBIC controller compared to the conventional PI Keywords Switched Reluctance Motor Speed Control
استاد راهنما :
مرتضي سقائيان نژاد
استاد مشاور :
مهدي معلم
استاد داور :
محمد ابراهيمي، بهزاد ميرزاييان
لينک به اين مدرک :

بازگشت