Design and Power-Assisted Braking Control of a Novel Electromechanical Brake Booster

Chen, Pengcheng; Wu, Jian; Zhao, Jian; He, Rui; Liu, Haizhen; Yang, Changhai

doi:10.4271/2018-01-0762

Cited by 13 publications

(4 citation statements)

References 14 publications

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“…At this time, the corresponding cylinder promotes the baffle plate and the other side of the baffle plate to form the corresponding channel for transporting fruits, which enter the collection box through the channel to complete the sorting of fruits. Reinforcement was installed underneath the central load-bearing plate to prevent the deformation of the middle load-bearing plate due to excessive weighing, and to prevent the free fall of the load caused by the reverse movement of the lead screw module a braking device was installed under the screw module [30]. The three-dimensional structure of the picking and sorting system is shown in Figure 4.…”

Section: Design Of Mechanical Structures 221 Picking and Sorting Systemmentioning

confidence: 99%

Designing and Testing a Picking and Selecting Integrated Remote-Operation-Type Dragon-Fruit-Picking Device

Yao,

Qiu,

Sun

et al. 2024

Applied Sciences

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In order to effectively solve the problems of the complex growth state of dragon fruit and how the picking process is mostly manual, this study designed a picking and selecting integrated remote-operation-type dragon-fruit-picking device. Based on SOLIDWORKS 2020 software for the three-dimensional digital design and overall assembly of key components, the structure and working theory of the machine are introduced. By improving the high-recognition-rate dragon fruit target detection algorithm based on YOLOv5, better recognition and locating effects were achieved for targets with a small size and high density, as well as those in bright-light scenes. Serial communication, information acquisition, and the precise control of each picking action were realized by building the software and hardware platforms of the picking device control system. By analyzing the working principle of the mechanical system and the mechanics of the machine picking process, the critical factors affecting the net picking rate and damage rate of the dragon-fruit-picking device were confirmed. Based on the force and parameter analysis of the test results, it was confirmed that the machine had an optimal picking influence when the flexible claw closing speed was 0.029 m/s, the electric cylinder extending speed was 0.085 m/s, and the mechanical arm moving speed was 0.15 m/s. The net picking rate of the device reached 90.5%, and the damage rate reached 2.9%. The picking device can complete the picking of a single dragon fruit, as well as a plurality of fruits grown at a growing point, and integrates the integration of picking fruits, removing bad fruits, and sorting fruits, which can improve the efficiency of dragon fruit harvesting and replace manual work.

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Section: Design Of Mechanical Structures 221 Picking and Sorting Systemmentioning

confidence: 99%

Designing and Testing a Picking and Selecting Integrated Remote-Operation-Type Dragon-Fruit-Picking Device

Yao,

Qiu,

Sun

et al. 2024

Applied Sciences

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show abstract

“…(2012) ; and the other category involves translating the force feedback problem to the position tracking control based on the reaction disk’s state of deformation Wu et al. (2020) ; Chen et al. (2018a) , Chen et al.…”

Section: Introductionmentioning

confidence: 99%

“…10.3389/frobt.2023.1078253 Wu et al (2020); Chen et al (2018a), Chen et al (2018b). With the latter category, which makes use of a non-contact electromagnetic transducer, there is higher accuracy, and the stroke sensor is more easily installed Wu et al (2020).…”

mentioning

confidence: 99%

Switchable MPC-based multi-objective regenerative brake control via flow regulation for electric vehicles

Mei

Cheng²,

Mu³

et al. 2023

Front. Robot. AI

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Recent investigations of the electric braking booster (E-Booster) focus on its potential to enhance brake energy regeneration. A vehicle’s hydraulic system is composed of the E-Booster and electric stability control to control the master cylinder and wheel cylinders. This paper aims to address the independent closed-loop control of the position and pressure as well as the maintenance of the pedal feel. To track both the reference signals related to piston displacement and the wheel cylinder pressure, an explicit model predictive control (MPC) is developed. First, the new flow model is introduced as the foundation for controller design and simulation. Next, in accordance with the operational conditions, the entire system is divided into three switchable subsystems. The three distributed MPCs are constructed based on the linearized subsystems, and a state machine is used to perform the state jump across the controllers. A linear piecewise affine control law can then be obtained by solving the quadratic program (QP) of explicit MPC. Afterwards, the non-linear extended Kalman filter including the recorded time-variant process noise is used to estimate all the state variables. The effectiveness of the explicit MPC is evidenced by the simulations compared with a single MPC in regenerative and dead-zone conditions. The proposed controller decreases the latency significantly by 85 milliseconds, which also helps to improve accuracy by 22.6%. Furthermore, the pedal feel remains consistent, even when factoring in the number of vibrations caused by the inherent hydraulic characteristic of pressure versus volume.

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“…The electric brake booster (E-Booster) is a key hydraulic actuator component for electric vehicle braking. Unlike steering assistance systems (EPS), the E-Booster no longer requires speed or torque regulation of the motor but transforms the braking assistance into a position control problem [1,2,3]. The principle is to utilize the compression state of the reaction disk to transform the power-assisted process into a closed-loop control of the motor mechanical angle.…”

Section: Introductionmentioning

confidence: 99%

A data-driven approach to fault modeling and diagnosis of brake-by-wire system

Mei

2023

J. Phys.: Conf. Ser.

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E-Booster plays an important role in braking safety as the pressure source for vehicle hydraulic systems. According to the design feature of its series controller, the signals on key nodes, which can be directly measured, can be used as the data source for fault diagnosis. In this paper, a deep learning technique of residual 1-D CNN equipped with parallel structure is proposed for fault recognition and classification in a dynamic process. With the help of wavelet transform and probabilistic heat map, it is found that the phase current fault feature is distinct in the frequency domain. In contrast, the uniform demagnetization fault and pressure recession fault are more obvious in the time domain. Therefore, the parallel network structure with a wide and narrow convolutional kernel is used, which can handle multiple complex fault features simultaneously. Simulation models based on both data-driven and mathematical formulations are also established to better fit the actual nonlinear conditions. Finally, the proposed network structure can reach 92.1% classification accuracy compared with the commonly used lightweight 2-D CNN model. It can be concluded that 1-D CNN achieves similar classification results as 2-D CNN with less computational resource consumption.

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Design and Power-Assisted Braking Control of a Novel Electromechanical Brake Booster

Cited by 13 publications

References 14 publications

Designing and Testing a Picking and Selecting Integrated Remote-Operation-Type Dragon-Fruit-Picking Device

Designing and Testing a Picking and Selecting Integrated Remote-Operation-Type Dragon-Fruit-Picking Device

Switchable MPC-based multi-objective regenerative brake control via flow regulation for electric vehicles

A data-driven approach to fault modeling and diagnosis of brake-by-wire system

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