Nonlinear control design of anti-lock braking systems with assistance of active suspension

Lin, Jung-Shan; Ting, Wei-En

doi:10.1049/iet-cta:20050218

Cited by 64 publications

(31 citation statements)

References 5 publications

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“…The magic formulae however, requires a number of parameters derived from extensive experimentation. In this light, the current work adopts a simpler but effective tyre-road friction model presented by Lin and Ting [22], and it is given as:…”

Section: B Tyre-friction Modelmentioning

confidence: 99%

Artificial intelligent-based feedforward optimized PID wheel slip controller

John

2013

2013 Africon

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Continual improvement of the anti-lock braking system control strategy is the focus of this work. Advances in auto-electronics and sub-systems such as the brake-by-wire technology are the driving forces behind the improvement of the anti-lock braking system. The control strategy has shifted from speed-control to slip-control strategy. In the current slip-control approach, proportional-integral-derivative (PID) controller and its variants: P, PI and PD have been proposed in place of the bangbang controller mostly used in commercial ABS. Though the PID controller is famous due to its wide applications in industry: irrespective of the nature of the process or system, it might lead to limited performance when applied to the ABS. In order to improve the performance of the PID controller, a neural network inverse model of the plant is used to optimize the reference input slip. The resultant neural network-based PID ABS is then tested in Matlab R /Simulink R simulation environment. The results of the proposed controller, exhibits more accurate slip tracking than the PID-slip controller.

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Section: B Tyre-friction Modelmentioning

confidence: 99%

Artificial intelligent-based feedforward optimized PID wheel slip controller

John

2013

2013 Africon

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“…One of disadvantage of the fuzzy controller is its instability response, and the fluctuation to the normal force is the result from this instability. However, using this controller leads to a noticeable increase of the braking force and the stopping distance before the crash [3,12]. This also causes a reduction of the deformation of the front-end structure after the crash.…”

Section: Response Of the Control Systemsmentioning

confidence: 99%

Numerical analysis of vehicle-to-vehicle impact using vehicle dynamics control systems for collision mitigation

Elmarakbi

Elkady

MacIntyre

2013

Int. J. Dynam. Control

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This paper focuses on the use of vehicle dynamics control systems (VDCS) to mitigate vehicle collisions in case of offset frontal vehicle-to-vehicle crash scenario. A unique 6-degree-of-freedom vehicle dynamics/crash mathematical model is developed and analyzed in this research. The model is used to define the vehicle body crash parameters by integrating a vehicle dynamics model with a vehicle front-end structure model. In this model, the anti-lock braking system and the active suspension control system are co-simulated with the full car vehicle dynamics model and integrated with the front-end structure. The associated equations of motion of the model are developed and solved numerically. Four different cases of VDCS are investigated in this paper and their associated results are compared with the free rolling case scenario. It is shown from the numerical simulations that the vehicle dynamics/crash response can be captured and analyzed quickly and accurately. Furthermore, it is shown that the VDCS affect the crash characteristics positively.

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“…He achieved 8% improvement with the integrated system over and above the ABS without the active suspension system. In another case, Ting and Lin [8] also achieved 8% improvement on stopping distance with the incorporation of an active suspension system to the ABS system.…”

Section: Introductionmentioning

confidence: 96%

Enhanced slip control performance using nonlinear passive suspension system

John

Pedro

Pozna

2011

2011 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM)

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Antilock Brake System (ABS) controller maintains or controls the slip between tyre and road to maximize the braking torque to achieve a shorter braking distance and control of the steering wheel. This paper presents a PID slip controller performance that incorporates nonlinear passive suspension dynamics. Three scenarios were compared The first scenario is the performance of the controller in a vehicle model without any suspension dynamics, the second scenario incorporates linear passive vehicle suspension system (LPVSS) and the third scenario incorporates nonlinear passive vehicle suspension system (NLPVSS). The incorporation of the passive suspension dynamics enhanced the ABS performance.

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Nonlinear control design of anti-lock braking systems with assistance of active suspension

Cited by 64 publications

References 5 publications

Artificial intelligent-based feedforward optimized PID wheel slip controller

Artificial intelligent-based feedforward optimized PID wheel slip controller

Numerical analysis of vehicle-to-vehicle impact using vehicle dynamics control systems for collision mitigation

Enhanced slip control performance using nonlinear passive suspension system

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