An electronically controlled hydraulic power steering system for heavy vehicles

Xia, Liangping; Jiang, Haobin

doi:10.1177/1687814016679566

Cited by 19 publications

(10 citation statements)

References 21 publications

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“…According to Equation ( 16), to simplify the calculation, it is assumed that the ground steering resistance is proportional to the front wheels angle, but in actual vehicle driving scenarios, this is not strictly accurate. The steering resistance torque is mainly derived from the tire self-rectifying torque and the kingpin inward rectifying torque [33], which can be expressed as…”

Section: Estimation Of the Steering Resistance Torquementioning

confidence: 99%

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Front wheel angle control for steering system of intelligent commercial vehicle based on model predictive control

Yang

2023

IET Intelligent Trans Sys

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Accurate control of front wheel angle is essential in intelligent vehicle electric‐hydraulic power steering (EHPS) system, because it has a significant impact on the safety, comfort, and reliability of vehicle steering. However, the accurate control of front wheel angle is a challenging problem due to the non‐linearity of hydraulic power in steering system and the uncertainty of steering resistance. In this paper, a model predictive control (MPC) method for front wheel angle based on steering resistance estimation is proposed. Firstly, through theoretical analysis and practical experiment of EHPS system model, the relationship between front wheel angle and steering wheel angle and the non‐linear characteristics of hydraulic power are obtained. Secondly, a sliding mode observer is established to estimate the front axle lateral tyre force and steering resistance, which is verified by MATLAB/TruckSim co‐simulation. Then a controller based on the MPC theory is designed and applied to the accurate control unit of front wheel angle in the EHPS system for real‐time control. Finally, the simulation and test platform results show that the control algorithm proposed in this paper can precisely control the vehicle's front wheel turning angle within a certain frequency range.

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Section: Estimation Of the Steering Resistance Torquementioning

confidence: 99%

“…As shown in Figure 9, when vehicle is steering in sinusoidal manoeuvre, the estimated lateral tyre forces are close to the simulation values. According to Equation (33), the steering resistance torque during the vehicle driving process can be obtained.…”

Section: Figure 13mentioning

confidence: 99%

Front wheel angle control for steering system of intelligent commercial vehicle based on model predictive control

Yang

2023

IET Intelligent Trans Sys

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“…e HAGC system is a representative nonlinear closed-loop system with various influencing factors. e instability vibration of the HAGC system may be produced in certain working status Shock and Vibration [51][52][53]. Hence, it is very significant to investigate the instability mechanism of the HAGC system from origin.…”

Section: Introductionmentioning

confidence: 99%

Instability Condition Derivation for Hydraulic AGC System under Pressure Closed‐Loop Control

Zhu

Tang

et al. 2021

Shock and Vibration

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In strip rolling, hydraulic automatic gauge control (HAGC) system is the key element to guarantee the precision of strip gauge. The stability of the kernel pressure closed loop (PCL) in the HAGC system plays an essential role in guaranteeing the rolling process with high performance. Nevertheless, there is some difficulty in exploring the instability mechanism of the HAGC system due to the fact that the PCL is a representative nonlinear closed-loop control system. In this work, for each component of the HAGC system, the mathematical model was established. And on the basis of the linking relation of various elements, we derived the incremental transfer model of the PCL system. Furthermore, in accordance with the deduced information transfer relation, the transfer block diagram of disturbing variable of the PCL system was obtained. Moreover, for the purpose of deriving the instability condition of the PCL system, the Popov frequency criterion was employed. The instability conditions of the HAGC system were obtained under PCL control. Furthermore, the derived instability conditions of the HAGC system were experimentally verified under various working conditions. The research results provide a fundamental foundation for studying the instability mechanism of the HAGC system.

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“…In order to solve the problems of HPS, some scholars have carried out some relevant researches. Xia et al studied an electronically controlled hydraulic power steering system which can realize the variable assist characteristics and improve the high-speed steering road feeling [4]. Tang et al applied an electromagnetic slip coupling to hydraulic power steering, which shows that the energy consumption decreases greatly compared with that of HPS [5].…”

Section: Introductionmentioning

confidence: 99%

Multi-Mode Switching Control of the EPS With Hybrid Power Supply

et al. 2020

Self Cite

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Electric power steering system (EPS) with traditional power supply can't provide enough power for heavy-duty vehicle to turn at low speed. To solve the problem, a novel EPS with hybrid power supply was constructed. In this paper, firstly, mathematical model of the EPS with hybrid power supply was established including model of hybrid power supply system and basic model of EPS. Then the power mode recognition was obtained according to the certain threshold of steering resistance torque, state of charge (SOC) of super-capacitor and output voltage of the vehicle power supply, and the corresponding finite automaton model was built. The EPS system with hybrid power supply was regarded as a hybrid system due to continuous event in a single mode and discrete event during mode switching process, thus the multi-mode switching control strategy was proposed. Taken the different characteristics of hybrid power supply in different power modes into account, the corresponding local controllers were designed which were consisted of fuzzy-PID controller, active disturbance rejection controller (ADRC) and sliding mode controller. Besides, the fuzzy supervisory controller was also designed to ensure the stability of the hybrid system during mode switching process. The simulation results show that the local controllers can achieve fast and accurate track of target current in each power mode, and the fuzzy supervisor can effectively ensure the stability of the switching process, which demonstrates the feasibility of the control strategy.

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An electronically controlled hydraulic power steering system for heavy vehicles

Cited by 19 publications

References 21 publications

Front wheel angle control for steering system of intelligent commercial vehicle based on model predictive control

Front wheel angle control for steering system of intelligent commercial vehicle based on model predictive control

Instability Condition Derivation for Hydraulic AGC System under Pressure Closed‐Loop Control

Multi-Mode Switching Control of the EPS With Hybrid Power Supply

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