Nonlinear linearization controller and genetic algorithm-based fuzzy logic controller for ABS systems and their comparison

Chen, Fu-Wei; Liao, Teh‐Lu

doi:10.1504/ijvd.2000.005196

Cited by 12 publications

(3 citation statements)

References 11 publications

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“…Not only PID (Proportion Integration Differentiation) control, but also several techniques based on nonlinear control have been applied to ASR research [10,11]. A fuzzy logic control was introduced in ASR control in [12]. Nakakuki et al [13] proposed the linearization feedback control for the ASR function.…”

Section: Introductionmentioning

confidence: 99%

An Acceleration Slip Regulation Strategy for Four-Wheel Drive Electric Vehicles Based on Sliding Mode Control

Peng

Xiong

et al. 2014

Energies

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This paper presents an acceleration slip regulation (ASR) system for four-wheel drive (4WD) electric vehicles, which are driven by the front and rear axles simultaneously. The ASR control strategy includes three control modes: average distribution of inter-axle torque, optimal distribution of inter-axle torque and independent control of optimal slip rate, respectively, which are designed based on the torque adaptive principle of inter-axle differential and sliding mode control theory. Furthermore, in order to accurately describe the longitudinal tyre force characteristic, a slip rate calculation formula in the form of a state equation was used for solving the numerical problem posed by the traditional way. A simulation was carried out with the MATLAB/Simulink software. The simulation results show that the proposed ASR system can fully use the road friction condition, inhibit the drive-wheels from slipping, and improve the vehicle longitudinal driving stability.

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Section: Introductionmentioning

confidence: 99%

An Acceleration Slip Regulation Strategy for Four-Wheel Drive Electric Vehicles Based on Sliding Mode Control

Peng

Xiong

et al. 2014

Energies

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“…The difference with the previous papers is that the sliding surface in [6] is defined by the difference between the desired and the measured slipping ratio. For a function similar with the ASR that controls also the slip, the ABS 3 , a fuzzy logic control was introduced by [8] and a genetic algorithm was used to determine in real time the large number of tuning parameters required by the fuzzy logic controller. Two fuzzy controllers were also compared to a linearizing feedback control by the authors in [8].…”

Section: Introductionmentioning

confidence: 99%

“…For a function similar with the ASR that controls also the slip, the ABS 3 , a fuzzy logic control was introduced by [8] and a genetic algorithm was used to determine in real time the large number of tuning parameters required by the fuzzy logic controller. Two fuzzy controllers were also compared to a linearizing feedback control by the authors in [8]. [9] proposed the linearizing feedback control for the ASR function.…”

Section: Introductionmentioning

confidence: 99%

Comparison of feedback linearization and flatness control for anti-slip regulation (ASR) of an hybrid vehicle: From theory to experimental results

Chapuis

Bideaux

Brun

et al. 2013

2013 European Control Conference (ECC)

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This paper compares 3 ASR 1 control laws, a PI controller, a linearizing feedback and a flatness based control. First, the controllers are designed based on a two state equations vehicle model. Then, the controllers are experimentally validated on an hybrid vehicle (VELROUE) with rear electric wheels and front axle ICE 2 traction. Finally, the nonlinear control laws are compared to the PI controller that is classically used in the automotive industry.

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Anti-Lock EFMB or EPMB BBW AWB Dispulsion Mechatronic Control Systems

Fijalkowski

2010

Automotive Mechatronics: Operational and Practical Issues

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Nonlinear linearization controller and genetic algorithm-based fuzzy logic controller for ABS systems and their comparison

Cited by 12 publications

References 11 publications

An Acceleration Slip Regulation Strategy for Four-Wheel Drive Electric Vehicles Based on Sliding Mode Control

An Acceleration Slip Regulation Strategy for Four-Wheel Drive Electric Vehicles Based on Sliding Mode Control

Comparison of feedback linearization and flatness control for anti-slip regulation (ASR) of an hybrid vehicle: From theory to experimental results

Anti-Lock EFMB or EPMB BBW AWB Dispulsion Mechatronic Control Systems

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