Comparison of Adaptive Fuzzy Sliding-Mode Pulse Width Modulation Control With Common Model-Based Nonlinear Controllers for Slip Control in Antilock Braking Systems

Mousavi, Alireza; Markazi, Amir H.D.; Masoudi, Saleh

doi:10.1115/1.4037296

Cited by 9 publications

(7 citation statements)

References 27 publications

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“…The equation of wheel rotation motion [ 21 ] is

J_{1} \left(\overset{. }{\omega}\right)_{1} = F_{x_{1}} R_{1} - T_{\text{f}}^{\text{p}}

$$J_{2} \left(\overset{.

…”

Section: Model Descriptions Of Hetmentioning

confidence: 99%

A Novel Bilevel Electromechanical Compound Braking Coordinated Control Strategy for Electric Vehicles

Zhao,

Li,

Yang

et al. 2024

Energy Tech

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Due to the difference of response time and braking type between the motor and the pneumatic braking system, it is still difficult to coordinate the motor braking and the pneumatic braking to ensure the vehicle stability and maximal energy regeneration. To address this challenge, a bilevel electromechanical compound braking coordinated control strategy for electric vehicles is proposed considering general and emergency braking state. First, in general braking state, considering the delay characteristics of the pneumatic braking system, a Lagrange quadratic interpolation prediction algorithm is designed to start the pneumatic braking system in advance. Second, in emergency braking state, a model predictive control method is proposed to optimize the braking torque distribution while controlling the wheel slip ratio in a stable range. In order to obtain the optimal control effect, a modified adaptive cuckoo search algorithm is put forward, in which three adaptive impact factors are added. Finally, the proposed control strategy is verified under three road conditions and compared with the conventional control strategy. The results demonstrate significant improvements under gravel road condition, including a 7% increase in energy recovery efficiency, a 92.1% enhancement in the following effect of pneumatic braking torque, and a 43.5% reduction in wheel fluctuation.

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“…The equation of wheel rotation motion [ 21 ] is

J_{1} \left(\overset{. }{\omega}\right)_{1} = F_{x_{1}} R_{1} - T_{\text{f}}^{\text{p}}

$$J_{2} \left(\overset{.

…”

Section: Model Descriptions Of Hetmentioning

confidence: 99%

A Novel Bilevel Electromechanical Compound Braking Coordinated Control Strategy for Electric Vehicles

Zhao,

Li,

Yang

et al. 2024

Energy Tech

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show abstract

“…With the development of the automobile industry, automobile safety requirements have risen, especially the braking performance at high speeds [1][2][3]. The antilock braking system (ABS) is an active safety device that is used to control and adjust the braking torque to prevent the wheels from locking during braking, so that the vehicle makes maximum use of the ground adhesion to slow down and stop [4,5]. Therefore, the ABS plays a vital role in vehicle driving safety.…”

Section: Introductionmentioning

confidence: 99%

An Improved Nonlinear Predictive Control Strategy Enhanced by Fractional Order Extremum Seeking Control of the Antilock Braking System of a Vehicle

Ren

Yuan

2020

IEEE Access

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Extremum seeking control can search the optimal slip rate of the antilock braking system of a vehicle through a high-frequency sinusoidal excitation signal. However, because of the bandwidth limitation of the braking actuator, the search speed of the optimal slip rate decreases and the stability of the extremum seeking control system becomes worse. To search and control the optimal slip rate, an improved nonlinear predictive control strategy enhanced by fractional order extremum seeking control is proposed for the vehicle antilock braking system. First, the nonlinear dynamic model of the braking system is established. Then, nonlinear prediction control is designed with the prediction of the slip rate response based on the nonlinear model to achieve slip rate control. Using fractional order calculus, a fractional extremum seeking controller is proposed to search for the optimal slip rate. Nonlinear predictive control integrated with fractional extremum seeking control is proposed to achieve the function of vehicle antilock braking. Finally, the effectiveness of the proposed method is verified by simulating the vehicle antilock braking system under different road conditions. The result shows that by considering the actuator available bandwidth, the proposed fractional order extremum seeking control can improve the search speed of the optimal slip rate compared with traditional integer order extremum seeking control. The proposed integrated controller achieves wheel slip rate optimal control regardless of the road conditions. INDEX TERMS Extremum seeking control, fractional order, ABS, nonlinear predictive control, slip rate.

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“…Testing in SiL and HiL is less expensive and provides more flexibility than ORVT and is hence popular. Yi and Chung, 3 Ataei et al, 4 Mirzaei and Mirzaeinejad, 5 Mousavi et al, 6 Miller and Cebon, 7 Wang and He 8 and Phadke et al 9 used SiL testing to evaluate brake control and WSR algorithms. Niglas 10 used HiL simulations to study the stopping performance of a vehicle and the effects of brake torque and configuration of a vehicle on the same.…”

Section: Introductionmentioning

confidence: 99%

An experimentally corroborated framework for emulating wheel lock in a heavy vehicle brake dynamometer

Challa

Singh

Ramakrushnan

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part D:

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Wheel lock in a vehicle during braking is detrimental to its safety, in addition to causing poor braking performance. Wheel slip regulation algorithms could potentially prevent wheel lock and are hence required to be tested and tuned thoroughly prior to in-vehicle deployment. Generally, software-in-the-loop and hardware-in-the-loop tests are explored before on-road vehicle testing. A brake dynamometer can potentially be utilized for wheel slip regulation testing, and this can be placed in between hardware-in-the-loop tests and on-road vehicle testing. Prior to evaluation of wheel slip regulation on a brake dynamometer, it is imperative to realize a wheel lock scenario. This work proposes a methodical framework for emulating wheel lock in a brake dynamometer. In this study, the dynamic effects during braking, particularly load transfer, wheel slip and tyre–road interactions, are subsumed into a single variable termed ‘equivalent inertia’ to replicate a wheel lock event. The variations of this variable were captured through extensive tests on a hardware-in-the-loop platform that consists of a pneumatic brake setup interfaced with IPG TruckMaker® co-simulated with MATLAB/Simulink®, across varying load, road and braking conditions. Equivalent inertia profiles thus generated were then realized in the brake dynamometer, via mechanical discs and electrical inertia. Angular speed profiles from hardware-in-the-loop and dynamometer tests were compared to corroborate the framework. A close correlation between the profiles, highlighted by the root mean square deviation of the order of 100 rad/s, established the effectiveness of the proposed scheme.

show abstract

Comparison of Adaptive Fuzzy Sliding-Mode Pulse Width Modulation Control With Common Model-Based Nonlinear Controllers for Slip Control in Antilock Braking Systems

Cited by 9 publications

References 27 publications

A Novel Bilevel Electromechanical Compound Braking Coordinated Control Strategy for Electric Vehicles

A Novel Bilevel Electromechanical Compound Braking Coordinated Control Strategy for Electric Vehicles

An Improved Nonlinear Predictive Control Strategy Enhanced by Fractional Order Extremum Seeking Control of the Antilock Braking System of a Vehicle

An experimentally corroborated framework for emulating wheel lock in a heavy vehicle brake dynamometer

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