Accurate Pressure Control Based on Driver Braking Intention Identification for a Novel Integrated Braking System

2021 ◽  
Author(s):  
Bing Zhu ◽  
Yihan Zhang ◽  
Jian Zhao ◽  
Zhicheng Chen ◽  
Wanli Jin
Keyword(s):  
Pressure Control ◽  
Braking System

Hydraulic Pressure Control and Parameter Optimization of Brake-by-Wire System Based on Driver-Automation Cooperative Driving

2018 ◽  
Author(s):  
Xiaohui Liu ◽  
Liangyao Yu ◽  
Sheng Zheng ◽  
Jinghu Chang ◽  
Fei Li
Keyword(s):  
Parameter Optimization ◽  
Pressure Control ◽  
Intelligent Vehicle ◽  
Hydraulic Pressure ◽  
Braking Performance ◽  
Driving Mode ◽  
Automatic Driving ◽  
Cooperative Driving ◽  
Braking System ◽  
Wire System

The automatic driving technology of vehicle is being carried out in real road environment, however, the application of unmanned vehicle still needs proof and practice. Autonomous vehicles will be in the stage of co-drive for a long time, that is, driver-control and autonomous system assisting or autonomous system control and driver assisting. The braking system of the intelligent vehicle needs to work in driver driving mode or automatic driving mode during a long stage. Brake-by-Wire system is the development trend of vehicle braking system. The brake modes of the Brake-by-Wire system can be switched easily and it can satisfy the demand for braking system of the intelligent vehicle. However, when the driving mode changes, the characteristic of the braking intention and braking demand will change. In order to improve the braking performance of the intelligent vehicle, hydraulic pressure control and parameter optimization of the Brake-by-Wire system during different driving modes should be different. Researches are made on hydraulic pressure control and parameter optimization of the Brake-by-Wire system with consideration on differences of braking intensity input and braking requirement between driver driving mode and automatic driving mode through theory analysis, Matlab/Simulink-AMESim simulation and bench test. The study is helpful for improving the braking performance of Brake-by-Wire system in hydraulic pressure control of driver-automation cooperative driving.

scholarly journals A Novel Pneumatic Brake Pressure Control Algorithm for Regenerative Braking System of Electric Commercial Trucks

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 83372-83383 ◽  
Author(s):  
Dawei Pi ◽  
Qing Cheng ◽  
Boyuan Xie ◽  
Hongliang Wang ◽  
Xianhui Wang
Keyword(s):  
Control Algorithm ◽  
Pressure Control ◽  
Regenerative Braking ◽  
Braking System ◽  
Brake Pressure

scholarly journals Torque Coordination Control of an Electro-Hydraulic Composite Brake System During Mode Switching Based on Braking Intention

Energies ◽  
2020 ◽  
Vol 13 (8) ◽  
pp. 2031
Author(s):  
Yang Yang ◽  
Yundong He ◽  
Zhong Yang ◽  
Chunyun Fu ◽  
Zhipeng Cong
Keyword(s):  
Electric Vehicle ◽  
Control Strategy ◽  
Ride Comfort ◽  
Fuzzy Controller ◽  
Pressure Control ◽  
Smooth Transition ◽  
Mode Switching ◽  
Coordination Control ◽  
Braking System ◽  
Braking Torque

The electro-hydraulic composite braking system of a pure electric vehicle can select different braking modes according to braking conditions. However, the differences in dynamic response characteristics between the motor braking system (MBS) and hydraulic braking system (HBS) cause total braking torque to fluctuate significantly during mode switching, resulting in jerking of the vehicle and affecting ride comfort. In this paper, torque coordination control during mode switching is studied for a four-wheel-drive pure electric vehicle with a dual motor. After the dynamic analysis of braking, a braking force distribution control strategy is developed based on the I-curve, and the boundary conditions of mode switching are determined. A novel combined pressure control algorithm, which contains a PID (proportional-integral-derivative) and fuzzy controller, is used to control the brake pressure of each wheel cylinder, to realize precise control of the hydraulic brake torque. Then, a novel torque coordination control strategy is proposed based on brake pedal stroke and its change rate, to modify the target hydraulic braking torque and reflect the driver’s braking intention. Meanwhile, motor braking torque is used to compensate for the insufficient braking torque caused by HBS, so as to realize a smooth transition between the braking modes. Simulation results show that the proposed coordination control strategy can effectively reduce torque fluctuation and vehicle jerk during mode switching.

Regenerative Braking System Pressure Control Calculation Based on ABS Hydraulic Model

2012 ◽  
Vol 201-202 ◽  
pp. 433-437
Author(s):  
Liang Chu ◽  
Jian Chen ◽  
Liang Yao ◽  
Chen Chen ◽  
Jian Wei Cai
Keyword(s):  
Fluid Flow ◽  
Pressure Control ◽  
Hydraulic Model ◽  
Cross Sectional Area ◽  
Regenerative Braking ◽  
Sectional Area ◽  
Cross Sectional ◽  
Master Cylinder ◽  
Braking System ◽  
System Pressure

The main objective of this work is to present a methodology for development of regenerative braking system hydraulic model that can be used to estimate the master cylinder pressure, master cylinder travel position, normal open valve fluid flow, normal open valve cross-sectional area, normal close valve fluid flow, normal close valve cross-sectional area, accumulator fluid flow and brake caliper fluid flow. According to the above hydraulic model calculation, the cooperation between regenerative braking system generator and ABS hydraulic braking control will be smooth and the arbitration strategy can be designed. Through the simple hydraulic model, the entire brake circuit of ABS can be derived easily.

scholarly journals Backstepping Fuzzy Sliding Mode Control for the Antiskid Braking System of Unmanned Aerial Vehicles

Electronics ◽  
2020 ◽  
Vol 9 (10) ◽  
pp. 1731
Author(s):  
Xi Zhang ◽  
Hui Lin
Keyword(s):  
Sliding Mode Control ◽  
Unmanned Aerial Vehicles ◽  
Control Strategy ◽  
Sliding Mode ◽  
Pressure Control ◽  
Slip Ratio ◽  
Fuzzy Sliding Mode Control ◽  
Braking System ◽  
Mode Control ◽  
Fuzzy Sliding Mode

This paper proposes a backstepping fuzzy sliding mode control method for the antiskid braking system (ABS) of unmanned aerial vehicles (UAVs). First, the longitudinal dynamic model of the UAV braking system is established and combined with the model of the electromechanical actuator (EMA), based on reasonable simplification. Subsequently, to overcome the higher-order nonlinearity of the braking system and ensure the lateral stability of the UAV during the braking process, an ABS controller is designed using the barrier Lyapunov function to ensure that the slip ratio can track the reference value without exceeding the preset range. Then, a power fast terminal sliding mode control algorithm is adopted to realize high-performance braking pressure control, which is required in the ABS controller, and a fuzzy corrector is established to improve the dynamic adaptation of the EMA controller in different braking pressure ranges. The experimental results show that the proposed braking pressure control strategy can improve the servo performance of the EMA, and the hardware in loop (HIL) experimental results indicate that the proposed slip ratio control strategy demonstrates a satisfactory performance in terms of stability under various runway conditions.

Braking angle control of loom spindle based on neuron-adaptive PID algorithm

2021 ◽  
pp. 1-9
Author(s):  
Yanjun Xiao ◽  
Zeyu Li ◽  
Zhe Mao ◽  
Wei Zhou
Keyword(s):  
Intelligent Control ◽  
Control Strategy ◽  
Control Algorithm ◽  
Control Method ◽  
Pressure Control ◽  
Pid Algorithm ◽  
Braking System ◽  
Control Precision ◽  
Allowable Error ◽  
Electromagnetic Clutch

The intelligent control strategy of electromagnetic clutch actuator is analyzed in detail in this paper. The start - stop control of the loom is realized by an electromagnetic clutch. The existing control method of electromagnetic clutch of loom is high and low pressure control strategy. The operator sets the braking advance angle according to experience, to realize the accurate braking of the spindle, but it is difficult to realize the fast and accurate control. In order to achieve good performance, it is very important to develop a fast and accurate loom braking system. Aiming at the fabric defects caused by the elongation of the warp when the loom is stopped, a method of stabilizing the excitation current of the electromagnetic clutch by using the neural adaptive PID (proportional integral differential) controller is proposed to improve the control precision of the actuator. The experimental results show that the proposed control algorithm is feasible and can effectively realize the adaptive control of the spindle braking Angle within the allowable error range.

Research on the Active Pressurization Control Method of RBS

2014 ◽  
Vol 644-650 ◽  
pp. 4864-4868
Author(s):  
Liang Chu ◽  
Yi Yang ◽  
Chong Guo ◽  
Yu Ting Huang ◽  
Wen Hui Li
Keyword(s):  
Control Method ◽  
Modulation Frequency ◽  
Pulse Signal ◽  
Pressure Control ◽  
Ratio Method ◽  
Regenerative Braking ◽  
Duty Ratio ◽  
Braking System ◽  
Pressurization Rate ◽  
Target Pressure

This paper based on the regenerative braking system, which developed in the '863' project, designed pressure control method for RBS system in the condition of active pressurization state and conduct Bench experiments. The results show that, under the condition of high frequency, through modulation frequency of the pulse signal and duty ratio method can coordinate the regenerative braking and hydraulic braking force, meet target pressure and the pressurization rate requirements of RBS.

scholarly journals Backstepping Adaptive Neural Network Control for Electric Braking Systems of Aircrafts

Algorithms ◽  
2019 ◽  
Vol 12 (10) ◽  
pp. 215
Author(s):  
Zhang ◽  
Lin
Keyword(s):  
Neural Network ◽  
Mathematical Model ◽  
Pressure Control ◽  
Backstepping Control ◽  
Experimental Results ◽  
Reduction Gear ◽  
Braking System ◽  
Adaptive Neural Network Control ◽  
Electric Braking ◽  
The Ideal

This paper proposes an adaptive backstepping control algorithm for electric braking systems with electromechanical actuators (EMAs). First, the ideal mathematical model of the EMA is established, and the nonlinear factors are analyzed, such as the deformation of the reduction gear. Subsequently, the actual mathematical model of the EMA is rebuilt by combining the ideal model and the nonlinear factors. To realize high performance braking pressure control, the backstepping control method is adopted to address the mismatched uncertainties in the electric braking system, and a radial basis function (RBF) neural network is established to estimate the nonlinear functions in the control system. The experimental results indicate that the proposed braking pressure control strategy can improve the servo performance of the electric braking system. In addition, the hardware-in-loop (HIL) experimental results show that the proposed EMA controller can satisfy the requirements of the aircraft antilock braking systems.

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