پديد آورنده :
ميرزايي، احمد
عنوان :
طراحي كنترل كننده هوشمند براي سيستم ترمز ضد قفل خودرو
گرايش تحصيلي :
﴿ مهندسي برق ﴾
محل تحصيل :
اصفهان: دانشگاه صنعتي اصفهان، دانشكده برق و كامپيوتر
صفحه شمار :
بيست و يك، 102، [II]ص.: مصور، جدول، نمودار
يادداشت :
ص. ع. به فارسي و انگليسي
استاد مشاور :
كارولوكس، جواد زركوب
توصيفگر ها :
اثر لغزش , ضريب اصطحكاك , ديناميك ترمز , سيستم هيدروليكي , سيستم هاي فازي
استاد داور :
شاهرخ فرهنگي، مرتضي سقائيان نژاد، سعيد ضيائي راد، بهزاد ميرزائيان
تاريخ ورود اطلاعات :
1396/02/31
رشته تحصيلي :
برق و كامپيوتر
دانشكده :
مهندسي برق و كامپيوتر
كد ايرانداك :
ID159 دكتري
چكيده فارسي :
به فارسي و انگليسي: قابل رويت در نسخه ديجيتالي
چكيده انگليسي :
AbstractAntilock braking systems ABS have been developed to reduce tendency of wheel slipand to improve vehicle control during sudden braking especially on slippery road surfaces The objective of such control is to increase wheel tractive force in the desired directionwhile maintaining adequate vehicle stability and steerability passenger s safety andcomfort and also reducing the vehicle stopping distance Up to now various controltechniques have been developed for antilock braking systems Some of these methods havenot shown proper performance for different road conditions In this thesis a genetic fuzzy controller and an optimized hybrid controller using a fuzzysystem is proposed for antilock braking system The objective function is defined tomaintain wheel slip at a desired level so that maximum wheel tractive force and maximumvehicle deceleration are obtained All components of fuzzy system are optimized using aparallel genetic algorithm and error based optimization technique The error based globaloptimization approach is used for fast convergence near optimum point The inputvariables to the controller are obtained by wheel speed and vehicle acceleration sensors All parameters of membership functions and rules of the fuzzy system that is Takagi Sugeno Kang TSK type are optimized using a genetic algorithm and error basedoptimization technique In order to obtain the optimum value in a shorter time and in amuch wider region the error based optimization approach is used Performance of theproposed controller is tested on a vehicle model with the two types of hydraulic brakesystems for different road conditions Simulation results show very good performance ofthe controller as compared with other intelligent and conventional controllers proposed intechnical references
استاد مشاور :
كارولوكس، جواد زركوب
استاد داور :
شاهرخ فرهنگي، مرتضي سقائيان نژاد، سعيد ضيائي راد، بهزاد ميرزائيان
