Modeling and Optimization of Pneumatic Brake System for Commercial Vehicles by Model Based Design Approach

Palanivelu, Sivakumar; Patil, Jeevan N.; Jindal, Ajit Kumar

doi:10.4271/2017-01-2493

Cited by 9 publications

(6 citation statements)

References 6 publications

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“…The discrete input open-loop system is equivalent to a continuous average input system model and the braking force is controlled by synovial control algorithm [15,16]. Palanivelu et al [17] proposed an adaptive modeling method, after modeling the parts in the system, it is convenient to simulate the system and optimize the parameters to obtain the ideal braking performance. In order to obtain more accurate analysis results, some scholars start with the modeling and performance test of the basic original switching solenoid valve in the pneumatic braking system, and gradually analyze its impact on the whole braking system.…”

Section: Introductionmentioning

confidence: 99%

Research on accurate modeling and control for pneumatic electric braking system of commercial vehicle based on multi-dynamic parameters measurement

Zhao

Yang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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Accurate pressure control and fast dynamic response are vital to the pneumatic electric braking system (PEBS) for those commercial vehicles that require higher regulation precision of braking force on four wheels when braking force distribution is carried out under some conditions. Due to the lagging information acquisition, most feedback-based control algorithms are difficult to further improve the dynamic response of PEBS. Meanwhile, feedforward-based control algorithms like predictive control perform well in improving dynamic performance but because of the large amount of computation and complexity of this kind of control algorithm, it cannot be applied in real-time on the single-chip microcomputer, and it is still in the stage of theoretical research at present. To address this issue and for the sake of engineering reliability, this article presents a logic threshold control scheme combining analogous model predictive control (AMPC) and proportional control. In addition, an experimental device for real-time measuring PEBS multi-dynamic parameters is built. After correcting the key parameters, the precise model is determined and the influence of switching solenoid valve on its dynamic response characteristics is studied. For the control scheme, numerical and physical validation is executed to demonstrate the feasibility of the strategy and for the performance of the controller design. The experimental results show that the dynamic model of PEBS can accurately reflect its pressure characteristics. Furthermore, under different air source pressures, the designed controller can stably control the pressure output of PEBS and ensure that the error is within 0.08 bar. Compared with the traditional control algorithm, the rapidity is improved by 32.5%.

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Section: Introductionmentioning

confidence: 99%

Research on accurate modeling and control for pneumatic electric braking system of commercial vehicle based on multi-dynamic parameters measurement

Zhao

Yang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

show abstract

“…Relevant scholars worldwide have conducted many studies on this. Palanivelu S. [8] proposed a system modeling method based on the model design, established the model of each component of the pneumatic brake system-dual-chamber brake valve, quick release valve, relay valve, front and rear brake chamber-and obtained the transient pressure response, braking distance, and vehicle deceleration through the test data in the braking process. R He.…”

Section: Introductionmentioning

confidence: 99%

Gain-Scheduled Model Predictive Control for a Commercial Vehicle Air Brake System

Deng

2021

Processes

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This paper presents a control-oriented Linear Parameter-Varying (LPV) model for commercial vehicle air brake systems with the electro-pneumatic proportional valve based on the nonlinear mathematical model, a set of discrete-time linearized models at different target pressures with the q-Markov Cover system identification method. The scheduled parameters for the LPV model were the brake chamber pressure, which was controlled by the electro-pneumatic proportional valve. On the basis of the LPV model, a family of Model Predictive Control (MPC) controllers with a Kalman filter was designed at each operation point. Then, the gain-scheduled MPC was designed over the entire operating range with the switched strategy, which was validated by experimental data. Furthermore, compared with the PID controller, the performance of the system was improved with a gain-scheduled MPC controller.

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“…There are some studies in current literature about determination of dynamic characteristic of pneumatic brake system used in vehicles. [6][7][8][9][10][11][12][13][14][15][16][17][18] Subramanian et al, studied on a brake system model, which predicts the pressure transients over supply pressure and partial brake applications for the operation of the primary circuit only. Once a model was developed for the pneumatic subsystem, it can be combined with a model for the mechanical subsystem to obtain a complete model of the air brake system.…”

Section: Introductionmentioning

confidence: 99%

Modelling the longitudinal braking dynamics for heavy-duty vehicles

Güleryüz

Başer

2021

Proceedings of the Institution of Mechanical Engineers, Part D:

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This paper establishes a reliable heavy-duty braking system model that can be used for response time prediction and for vehicle braking calculations regarding the legislative requirements. For the response time prediction, a pneumatic system model of a heavy-duty vehicle is constructed by Matlab Simulink in consideration of service brake layout. To ensure the accuracy of system parameters related with pneumatic system response time experiments are conducted on two different 4 × 4 heavy-duty vehicles. The numerically calculated response time results are validated with experimental data. To improve the response time of the vehicle, design modifications are conducted on the pneumatic brake system properties. To check the compliance of the pneumatic brake system design with legislative requirements of UN Regulation 13, heavy-duty vehicle brake system (HVBS) model is developed by using Matlab Simulink. HVBS model is composed of longitudinal vehicle and wheel dynamics, Magic Formula tyre model, wheel slip and the experimentally verified heavy-duty pneumatic system model. The braking performance analyses are conducted by using HVBS model to compare the design alternatives in accordance with the legal requirements in terms of service braking and secondary braking conditions.

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Modeling and Optimization of Pneumatic Brake System for Commercial Vehicles by Model Based Design Approach

Cited by 9 publications

References 6 publications

Research on accurate modeling and control for pneumatic electric braking system of commercial vehicle based on multi-dynamic parameters measurement

Research on accurate modeling and control for pneumatic electric braking system of commercial vehicle based on multi-dynamic parameters measurement

Gain-Scheduled Model Predictive Control for a Commercial Vehicle Air Brake System

Modelling the longitudinal braking dynamics for heavy-duty vehicles

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