Neuro-Fuzzy Controller Design of the Anti-Lock Braking System.

Wu, Ming-Chin; Lee, Lian-Chian; Shih, Ming‐Chang

doi:10.1299/jsmec.41.836

Cited by 4 publications

(3 citation statements)

References 12 publications

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“…The model is based on the so-called quarter vehicle model which is often used in connection with the design of anti-lock brake systems in automobiles, see e.g. [Wu98]. Setting up Newton's equation of motion for the nth part vehicle model results in:…”

Section: Vehicle Modelmentioning

confidence: 99%

Wheelslide and Wheelskid Protection for a Single-Wheel Drive and Brake Module (SDBM) for Rail Vehicles

Stützle

Engelhardt

Enning

et al. 2008

IFAC Proceedings Volumes

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Section: Vehicle Modelmentioning

confidence: 99%

Wheelslide and Wheelskid Protection for a Single-Wheel Drive and Brake Module (SDBM) for Rail Vehicles

Stützle

Engelhardt

Enning

et al. 2008

IFAC Proceedings Volumes

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“…Die Gleitschutzventile werden bei herkömmlichen Gleitschutzsystemen in Folge einer im Steuergerät durchgeführ-ten Verzögerungs-und Schlupfauswertung angesteuert [10] [8] lässt sich auf ein Fahrzeug mit n-Achsen anpassen und führt zum n-tel-Fahrzeugmodell (Bild 3). Die Betrachtungen beginnen mit dem Aufstellen der Bewegungsgleichungen für das n-tel Fahrzeugmodell: …”

Section: Introductionunclassified

Adaptiver Gleitschutz für Schienenfahrzeuge (Adaptive Wheelslide Protection System for Railway Vehicles)

Stützle¹,

Viereck²,

Enning³

et al. 2006

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Dieser Beitrag beschäftigt sich mit der Auslegung und dem Test einer Gleitschutzregelung für Schienenfahrzeuge. Als Grundlage für die Reglerentwicklung werden zunächst einfache Modelle des Schienenfahrzeugs, der Kraftschlussbeanspruchung und des Bremssystems vorgestellt. An Hand einer Analyse des Gesamtmodells kann der Wertebereich eines bestimmten Modellparameters berechnet werden, der bei der Auslegung des linearen, robusten Schlupfreglers berücksichtigt werden muss. Daneben wird die Adaption der Reglerverstärkung an einen leicht zu identifizierenden Fahrzeugparameter (Bremszustandsfaktor) beschrieben. Schließlich werden Versuchsergebnisse von Testfahrten mit einer Regelung im Mikroschlupfbereich vorgestellt und diskutiert.This article is concerned with the design and the test of a wheelslide protection system for railway vehicles. For the purpose of the controller design, simple models of the railway vehicle, the non-dimensional creep force characteristic and the brake system are presented first. Based on an analysis of the entire model, the domain of a particular model parameter can be calculated, which needs to be considered in the design of the linear and robust creep controller. Furthermore, the adaption of the controller gain on an easily identifiable vehicle parameter (brake condition factor) is described. Finally, experimental results of test runs with a control in the mirco-slip range are presented and discussed.

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“…This way can avoid the excessive slipping of the wheel. Wu, Lee, & Shih (10) apply neural-fuzzy control theory to the design of the ABS controller under the influences of different road surface states. Wu, & Shih (11), (12) use the sliding-mode PWM scheme in the ABS controller Fig.…”

Section: Introductionmentioning

confidence: 99%

PID-Type Fuzzy Control for Anti-Lock Brake Systems with Parameter Adaptation

Chen

Shih

2004

JSME Int. J., Ser. C

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In this research, a platform is built to accomplish a series of experiments to control the Antilock Brake System (ABS). A commercial ABS module controlled by a controller is installed and tested on the platform. The vehicle and tire models are deduced and simulated by a personal computer for real time control. An adaptive PID-type fuzzy control scheme is used. Two on-off conversion methods: pulse width modulation (PWM) and conditional on-off, are used to control the solenoid valves in the ABS module. With the pressure signal feedbacks in the caliper, vehicle dynamics and wheel speeds are computed during braking. Road surface conditions, vehicle weight and control schemes are varied in the experiments to study braking properties.

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Neuro-Fuzzy Controller Design of the Anti-Lock Braking System.

Cited by 4 publications

References 12 publications

Wheelslide and Wheelskid Protection for a Single-Wheel Drive and Brake Module (SDBM) for Rail Vehicles

Wheelslide and Wheelskid Protection for a Single-Wheel Drive and Brake Module (SDBM) for Rail Vehicles

Adaptiver Gleitschutz für Schienenfahrzeuge (Adaptive Wheelslide Protection System for Railway Vehicles)

PID-Type Fuzzy Control for Anti-Lock Brake Systems with Parameter Adaptation

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