Design of a multiple-model switching controller for ABS braking dynamics

Dousti, Morteza; Başlamışlı, S. Çağlar; Önder, Eray Teoman; Solmaz, Selim

doi:10.1177/0142331214546522

Cited by 33 publications

(19 citation statements)

References 15 publications

(15 reference statements)

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“…xi F and v represent the estimation errors of longitudinal force and vehicle velocity, respectively. The proposed observers have been proved the stability in [11] and [23], thus the estimating error is bounded:…”

Section: A Sliding Mode Controller Designmentioning

confidence: 94%

“…The vehicle velocity is estimated based on the measurement of vehicle acceleration. A velocity observer proposed in [11] is used in the present study: ˆ11…”

Section: A Vehicle Velocity Observermentioning

confidence: 99%

“…In [10], the optimal slips are estimated by monitoring the behaviours of the rear wheels, while the front wheels are controlled to track the optimal slips in an antilock brake system (ABS). In [11], a set of multiple-model switching (MMS) lead-lag controllers for EMB systems are adapted according to a variety of road conditions. Meanwhile, a multiple-model switching observer is developed to estimate the varying friction coefficient and the varying optimal slips.…”

Section: Introductionmentioning

confidence: 99%

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Fuzzy sliding mode control based on longitudinal force estimation for electro-mechanical braking systems using BLDC motor

Peng

Jia

et al. 2018

Trans. Electr. Mach. Syst.

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This paper focuses on the controller design using fuzzy sliding mode control (FSMC) with application to electro-mechanical brake (EMB) systems using BLDC Motor. The EMB controller transmits the control signal to the motor driver to rotate the motor. The torque distribution of motors is studied in this paper actually. Firstly, the model of the EMB system is established. Then the state observer is developed to estimate the vehicle states including the vehicle velocity and longitudinal force. Due to the fact that the EMB system is nonlinear and uncertain, a FSMC strategy based on wheel slip ratio is proposed, where both the normal and emergency braking conditions are taken into account. The equivalent control law of sliding mode controller is designed on the basis of the variation of the front axle and rear axle load during the brake process, while the switching control law is adjusted by the fuzzy corrector. The simulation results illustrate that the FSMC strategy has the superior performance, better adaptability to various types of roads, and shorter braking distance, as compared to PID control and traditional sliding mode control technologies. Finally, the hardware-in-loop (HIL) experimental results have exemplified the validation of the developed methodology.

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Section: A Sliding Mode Controller Designmentioning

confidence: 94%

“…The vehicle velocity is estimated based on the measurement of vehicle acceleration. A velocity observer proposed in [11] is used in the present study: ˆ11…”

Section: A Vehicle Velocity Observermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Fuzzy sliding mode control based on longitudinal force estimation for electro-mechanical braking systems using BLDC motor

Peng

Jia

et al. 2018

Trans. Electr. Mach. Syst.

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“…Literatürde, bu değerlerin tahmini için gözlemci tasarımları yer almaktadır. Bu çalışmanın yazarlarının bu konu ile ilgili yaptığı çalışmalara kaynakça kısmında yer verilmiştir [19][20][21]. Şekil 5'teki gibi kontrol diyagramı oluşturulmuştur.…”

Section: Kontrol Diyagramı (Control Diagram)unclassified

Yanal Yol Tutuş Kararliliği İçi̇n Merkezi̇ Di̇feransi̇yel Kontrolü Tabanli Çeki̇ş Torku Dağitimi

Önder

Başlamışlı

2016

Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi

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Karayolu taşıtlarında, merkezi diferansiyelin aktif kontrolü için bir çoklu model geçişli kontrolcü (çmgk) algoritması oluşturulmuştur. aracın yol tutuşunda ve aktif güvenlikte etkin rol alan parametrelerin en kısa tepki süresinde, tasarlanmış kontrolcü kazancı sayesinde, beklenen, makul değerlerine yakınsaması istenmektedir. farklı tutunma katsayılarına sahip yol yüzeyleri baz alınarak doğrusallaştırma yapılmış ve farklı işletim noktaları için sistem modelleri oluşturulmuştur. bu modellerin her biri için, hıza karşı dayanımlı olacak durum geri beslemeli kontrolcü kazancı değerleri doğrusal matris eşitsizlikleri (linear matrix inequalities, lmı) kullanılarak elde edilmiştir. modeller arasında algoritmanın yapacağı geçişlerde kararlılık şartlarının sağlandığı gösterilmiştir. savrulma oranı için referans takibi sağlanmıştır. yol tutuşunda etkin diğer parametreler, kararlı sürüş için beklenen değerlerinde seyrederken, kontrolsüz araca göre yatışma zamanının kısaldığı ve salınımların azaldığı gözlenmiştir. A control algorithm has been proposed for multimodel switching control (mmsc) of the central differential mechanism of road vehicles. ın such problems, the peformance parameters related to vehicle handling are expected to converge to reference values in the shortest possible time by the use of appropriate controllers. ın the present approach, operating points of the system are determined at two different levels of the road friction coefficient and linear system models are obtained around these points. for each of the models, state feedback controllers, which are robust against the change of vehicle speed, are designed by solving linear matrix inequalities (lmi) feasibility problems. ıt is proved that the proposed algorithm satisfies stability and performance conditions during switching between the system models that are operative under varying road conditions. Yaw rate reference tracking is achieved, driving stability ensured, settling time improved and oscillations in yaw rate and sideslip angle are reduced for the controlled vehicle.10.17341/gummfd.79306

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“…Feedback linearization control is a nonlinear control strategy which have been applied for various kind of systems [1][2][3]. Dousti et al introduced a multiple model switching design for ABS control [4]. This multiple switching model was based on observer prediction signals according to its preset wheel model, and led to enhance adaption in presence of changing in driving and road conditions.…”

Section: Introductionmentioning

confidence: 99%

Independent Model Generalized Predictive Controller Design for Antilock Braking System

HasanKhansari¹,

Yaghoobi²,

Abaspour³

2015

IJCA

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Wheel slip control is a significant research topics in the field of car stability. Model predictive control is one of the most advanced controller which has received great attention and application in industries. In this paper independent model generalize predictive control (IMGPC) is introduced for antilock braking system. This controller is implemented on a linear model of anti-lock braking system, and through the numerical simulation, it is demonstrated that it can control the system in presence of sever noise and disturbances. The simulation results show that the proposed controller has better performance in comparison with other conventional linear controllers. General TermsPredictive control, Anti-lock braking system .

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Design of a multiple-model switching controller for ABS braking dynamics

Cited by 33 publications

References 15 publications

Fuzzy sliding mode control based on longitudinal force estimation for electro-mechanical braking systems using BLDC motor

Fuzzy sliding mode control based on longitudinal force estimation for electro-mechanical braking systems using BLDC motor

Yanal Yol Tutuş Kararliliği İçi̇n Merkezi̇ Di̇feransi̇yel Kontrolü Tabanli Çeki̇ş Torku Dağitimi

Independent Model Generalized Predictive Controller Design for Antilock Braking System

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