Steering Fuzzy PID Control for Tracked Vehicle with Hydrostatic Drive

Yang, Lei; Ma, Bin; Li, Heyan; Zhang, Hailing

doi:10.1109/cise.2009.5366878

Cited by 4 publications

(2 citation statements)

References 6 publications

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“…The stability and control accuracy of the controller are verified by experiments, which can effectively alleviate vehicle vibration. Yang et al [11] designed a steering controller composed of neural network PID controller and pump motor displacement controller, which realized the steering control strategy of automatically reducing the average vehicle speed and accurately reaching the steering radius expected by the driver. Wang et al [12] proposed a neural network PID control method for adaptive adjustment of gas mass flow, which effectively alleviated the adverse phenomena such as overcharge, over discharge and oscillation in the process of vehicle height adjustment of electronically controlled air suspension.…”

Section: B Application Of Optimized Pid Algorithm In Vehicle Controlmentioning

confidence: 99%

Dynamic Loading System of an Agricultural Vehicle Power Wagon Based on Complex Loading

Yan

Tao

2020

IEEE Access

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A dynamic loading system of a power wagon is studied to solve the problems of low loading precision, slow response speed, and poor adaptive capability of a power wagon in an agricultural vehicle traction test. The load feature of an engine is analyzed under different gear locations, governor handle positions, and vehicle speeds. Meanwhile, the load feature of an eddy current retarder is examined based on a backpropagation (BP) neural network proportional-integral-derivative (PID) control algorithm. The mathematical model for the loading system is established. The time domain model for traction is refactored by a white noise filter according to the power spectral density function. To improve the dynamic loading performance of the eddy current retarder, the BP neural network PID control algorithm is used to change its exciting voltage to achieve an accurate simulation of the actual working load. The effectiveness and practicability of this control algorithm are validated by comparing its system output response dynamic characteristics with those of the traditional PID control algorithm. Simulation results show that the output error is less than 2.8% and the maximum delay is 56.5 ms when the BP neural network PID control is used. On the basis of this result, the traction property of a tractor with several wheels is tested on the road. The test and analysis results indicate that the output loads of the loading system accurately simulate the field actual load of the tractor. The maximum output load value of the system is 42-48 kN and the applicable speed range is 0-25 km/h. The output error is less than 3.5% and the maximum delay is 85.6 ms. INDEX TERMS Agricultural vehicle, complex loading, dynamic loading, power wagon.

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Section: B Application Of Optimized Pid Algorithm In Vehicle Controlmentioning

confidence: 99%

Dynamic Loading System of an Agricultural Vehicle Power Wagon Based on Complex Loading

Yan

Tao

2020

IEEE Access

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“…Tracked vehicle relative to the characteristics of the wheeled vehicles are the most advantage is its road wheel by caterpillar and not direct contact with the ground, has the unique ability of cross-country [1][2][3] , but at the same time it is also more difficult, the design of steering system also more complex 4 , so optimization design of tracked vehicle steering control strategy to improve its steering ability is particularly important. With the development of hydraulic technology, the steering system of tracked vehicles usually adopts hydraulic transmission to obtain higher power density 5 . The hydraulic transmission system adopted is a volumetric speed regulating closed system, usually with variable pump-quantitative motor, variable pump-variable motor and other structures, also known as hydrostatic drive.…”

Section: Introductionmentioning

confidence: 99%

Modelling and performance analysis of tracked vehicle with coupled pump-motor steering system based on MATLAB

Zou¹,

Wang²,

Guo³

et al. 2023

Sixth International Conference on Intelligent Computing, Communication, and Devices (ICCD 2023)

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Aiming at the tracked vehicle with coupled pump-motor hydraulic steering system, the vehicle system coupling model based on MATLAB/Simulink was established under the braking, steering and straight driving scenario. The mathematical model of hydraulic steering regulation system with variable pump and quantitative motor is established. After analysing the kinematics and dynamics of the tracked vehicle, the vehicle system coupling model under the above working scenario was established. The main performance parameters of the vehicle, such as track speed, steering radius, steering driving force and steering high pressure, are studied under the conditions of different variable pump swash plate inclination angle (different pump displacement), different vehicle braking force and different engine speed. The stability of the combined pump-motor hydraulic steering system is evaluated, and the correctness of the established model is verified, which has certain theoretical guiding significance for the research of the steering control strategy of tracked vehicles.

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A segmental pump-motor control scheme to attain targeted speed under varying load demand of a hydraulic drive used in heavy earth movers

et al. 2021

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Steering Fuzzy PID Control for Tracked Vehicle with Hydrostatic Drive

Cited by 4 publications

References 6 publications

Dynamic Loading System of an Agricultural Vehicle Power Wagon Based on Complex Loading

Dynamic Loading System of an Agricultural Vehicle Power Wagon Based on Complex Loading

Modelling and performance analysis of tracked vehicle with coupled pump-motor steering system based on MATLAB

A segmental pump-motor control scheme to attain targeted speed under varying load demand of a hydraulic drive used in heavy earth movers

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