Robust Design of a Pneumatic Brake System in Commercial Vehicles

Wu, Jinglai; Zhang, Hongchang; Zhang, Yunqing; Chen, Liping

doi:10.4271/2009-01-0408

Cited by 20 publications

(6 citation statements)

References 9 publications

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“…These ubiquitous non-linearities place higher requirements on the pressure control of PEBS. In recent years, many significant works regarding PEBS non-linearity analysis and modelling are available [14][15][16][17][18][19][20] and based on these, many methods are proposed to achieve acceptable control performance subject to specific conditions [21][22][23][24]. However, few consider the self-contained non-linear characteristics of the system and controller computing capacity.…”

Section: Introductionmentioning

confidence: 99%

Pressure control for pneumatic electric braking system of commercial vehicle based on model predictive control

Zhao

Yang

2021

IET Intelligent Trans Sys

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Precise braking pressure control of a pneumatic electric braking system (PEBS) poses challenging non-linear control problems, since it can operate in several distinct discrete processes (the pressure increasing, holding and decreasing) by switching the on-off solenoid valves and the piston of relay valve moves irregularly. This article describes the development and experimental validation of a viable controller for an electronically controlled braking pressure based on the theory of model predictive control (MPC). The controller design consists of two parts. The non-linear characteristic is first studied to ensure the pressure response of PEBS when the opening time is 4-10 ms in a fixed period, followed by calculation and prediction of the optimal on-off time of inlet valve and release valve based on the current braking pressure to realize steady state. A logic rule is designed to ensure that the MPC controller and feedback control work coordinate to guarantee engineering reliability. A comprehensive system model is derived to help characterize system non-linearities and design the MPC predictive model. Simulations and experimental results are presented finally to show how the MPC and feedback control strategy can be successfully applied to solve the braking pressure control of a PEBS in a systematic way.

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Section: Introductionmentioning

confidence: 99%

Pressure control for pneumatic electric braking system of commercial vehicle based on model predictive control

Zhao

Yang

2021

IET Intelligent Trans Sys

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“…Since the characteristics of a typical pneumatic brake system are somewhat nonlinear with certain uncertainties, designing a satisfactory controller for the air brake system is challenging. J. Wu [17] proposed using the brake control tolerance model to carry out the robust optimization focusing on the air brake system robustness. Fanping Bu [18] designed the indirect adaptive robust controller (IARC) for the pneumatic brake model aiming at stopping a heavy vehicle accurately.…”

Section: Introductionmentioning

confidence: 99%

Linear-Quadratic Tracking Control of a Commercial Vehicle Air Brake System

Zhu

et al. 2020

IEEE Access

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This paper proposes to utilize linear-quadratic tracking (LQT) control to reduce the air brake system response time and vehicle stopping distance, and hence, to significantly improve the system performance of a commercial vehicle air brake system equipped with electro-pneumatic proportional valve actuators. The nonlinear dynamic model of the air brake system, consisting of a control actuator (a proportional valve) and braking actuator (the brake chamber), is developed and linearized using the q-Markov COVariance Equivalent Realization (q-Markov Cover) method in our early work. Based on the linearized dynamic model, an infinite horizon LQT controller is designed along with Kalman state estimation at each linearized operational condition. To apply the LQT control law over a wide operational range to track the target pressure, the designed controller was interpolated between the neighboring controllers to have a control law cover the entire operational range. To validate this control law, the control scheme is implemented into a dSPACE unit and validated through bench tests under different supply and reference pressures. The LQT control performance is also compared with the PID (proportional-integralderivative) one. The bench test results confirm the effectiveness of the proposed control scheme.

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“…Hence, good braking performance is an important guarantee for fast maneuvering and safe driving. At present, the pneumatic braking system (PBS) is widely employed in MHVs with the advantages of large braking force, good reliability and easy maintenance [1].…”

Section: Introductionmentioning

confidence: 99%

An Experimental Study on Hysteresis Characteristics of a Pneumatic Braking System for a Multi-Axle Heavy Vehicle in Emergency Braking Situations

et al. 2017

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Featured Application: The obtained data and model from the research can be useful for the design of a pneumatic braking system and the development of advanced brake control strategy with respect to multi-axle heavy vehicles in the future.Abstract: This study aims to investigate the hysteresis characteristics of a pneumatic braking system for multi-axle heavy vehicles (MHVs). Hysteresis affects emergency braking performance severely. The fact that MHVs have a large size and complex structure leads to more nonlinear coupling property of the pneumatic braking system compared to normal two-axle vehicles. Thus, theoretical analysis and simulation are not enough when studying hysteresis. In this article, the hysteresis of a pneumatic brake system for an eight-axle vehicle in an emergency braking situation is studied based on a novel test bench. A servo drive device is applied to simulate the driver's braking intensions normally expressed by opening or moving speed of the brake pedal. With a reasonable arrangement of sensors and the NI LabVIEW platform, both the delay time of eight loops and the response time of each subassembly in a single loop are detected in real time. The outcomes of the experiment show that the delay time of each loop gets longer with the increase of pedal opening, and a quadratic relationship exists between them. Based on this, the pressure transient in the system is fitted to a first-order plus time delay model. Besides, the response time of treadle valve and controlling pipeline accounts for more than 80% of the loop's total delay time, indicating that these two subassemblies are the main contributors to the hysteresis effect.

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Robust Design of a Pneumatic Brake System in Commercial Vehicles

Cited by 20 publications

References 9 publications

Pressure control for pneumatic electric braking system of commercial vehicle based on model predictive control

Pressure control for pneumatic electric braking system of commercial vehicle based on model predictive control

Linear-Quadratic Tracking Control of a Commercial Vehicle Air Brake System

An Experimental Study on Hysteresis Characteristics of a Pneumatic Braking System for a Multi-Axle Heavy Vehicle in Emergency Braking Situations

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