Dynamic analysis of a closed-circuit hydrostatic summation drive using bent axis motors

Kumar, Niranjan; Dasgupta, Kabir; Ghoshal, Sanjoy K.

doi:10.1177/0959651815583197

Cited by 8 publications

(6 citation statements)

References 10 publications

(11 reference statements)

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“…The selection of operation mode also depends on the size of the site, the type and height of the materials, to shorten the transfer distance and turning time of the loader. The most common mode of operation is ‘Y’ cycle, 18 which is known as conventional duty cycle. The load profile of the proposed HST system of the FEL traction 19 is shown in Figure 2, which is estimated from the operational load of the machinery during conventional digging-hauling-dumping operation; and unconventional operations of peak production time and parking.…”

Section: Development Of Hydrostatic Dynamometer As Loading Unit and I...mentioning

confidence: 99%

Energy-efficient control of hydrostatic transmission of a front-end loader machine using machine learning algorithm and its sensitivity analysis

Bhola

Kumar

2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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This paper highlights development of 2-DOF and 3-DOF energy management controllers using a Machine Learning (ML) algorithm for closed-circuit hydrostatic transmission of Front-End Loader (FEL) machine. Objective of energy management controller, is to keep prime-mover, pump and hydro-motor in its efficient zone irrespective of variation of load-speed at drive end. Based on duty cycles of the transmission and sensitivity analysis of drive components, GPR algorithm shows better prediction (within 3%) of optimized commands of hydro-motor and pump displacements and their operating speeds, which results in its efficient operation. Validated model of hydraulic transmission components is integrated with verified model of IC engine to investigate saving in fuel consumption through designed controllers. Comparative study between 2-DOF and 3-DOF controlled transmission systems infers that fuel consumption for engine in 3-DOF controlled system decreases up to 34% of that of 2-DOF with a 20%–30% relative increase in overall drive efficiency.

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Section: Development Of Hydrostatic Dynamometer As Loading Unit and I...mentioning

confidence: 99%

Energy-efficient control of hydrostatic transmission of a front-end loader machine using machine learning algorithm and its sensitivity analysis

Bhola

Kumar

2022

Proceedings of the Institution of Mechanical Engineers, Part D:

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“…Danfoss 8 developed a 2-Motor-Transmission system to improve powertrain efficiency. Kumar et al 9 gave a comprehensive dynamic model of the closed-circuit hydrostatic summation drive, which can be used for improving the design of the transmission system. Although the optimized powertrain can reduce fuel consumption, it requires powertrain modification and therefore increases system development period and cost.…”

Section: Introductionmentioning

confidence: 99%

An optimal-pressure control strategy for hydrostatic wheel loader

Wang

Zhang

Sun

et al. 2023

Proceedings of the Institution of Mechanical Engineers, Part I:

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Mobile machines consume a large amount of fossil fuel each year; therefore, it is critical to reduce their fuel consumption. A wheel loader is a typical mobile machine of great research interest. Most compact wheel loaders are usually equipped with hydrostatic transmissions. To reduce the fuel consumption of the powertrain, a min-rpm strategy where the engine speed is maintained as low as possible is usually applied. It is a rule-based control strategy, however, cannot achieve minimum engine fuel consumption. Therefore, an optimal-pressure control strategy is proposed for hydrostatic wheel loaders, where the minimum fuel consumption is achieved by selecting optimal system pressure at each time step. To show the advantages of the proposed strategy, the powertrain operation and engine fuel consumption are compared with the min-rpm strategy through simulation studies. To further verify the effectiveness of the proposed strategy, comparisons are conducted using three loading cycles (30s, 57s and 90s). Results show the engine fuel savings in three loading cycles, with fuel saving up to 27% in the 90s loading cycle.

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“…Considering the linear relationship between the bulk modulus of oil and pressure, Wu et al 19 identify the parameters of each transfer function of the hydraulic transmission system through sine excitation. Kumar et al 20 describe the transmission characteristic of a closed-circuit hydraulic summation drive system based on the bondgraph simulation technique. Implementing a flawless model for nonlinear EMH systems with a wide range of operating points requires sufficient knowledge about the system dynamics.…”

Section: Introductionmentioning

confidence: 99%

Quasi-LPV system modeling and identification of a variable speed electro-mechanical and hydraulic MISO system

Geng

Liu

2022

Proceedings of the Institution of Mechanical Engineers, Part B:

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An accurate digital model is of great significance to system operation inversion and behavior prediction. The multi-energy domain coupling mechanism of the Electro-mechanical and Hydraulic (EMH) system is complex and has strong nonlinear characteristics. At present, the research mainly focuses on the mechanical-hydraulic coupling characteristics, while the research on the large operating range and the influence of electric motor and load characteristics on the nonlinear dynamics of the EMH system are less. Based on the first principle description, the nonlinear characteristics of the system components are described in this paper. Furthermore, the nonlinear dynamic model of the EMH system described in multi-state space is established based on the Quasi-LPV system. Combined with the experimental data, the structural and non-structural uncertain parameters of system are identified. Finally, the influence of the mechanical characteristics of electric motor, load on the nonlinear dynamics of the EMH system are discussed. Experiments show that the Quasi-LPV models proposed in this paper can accurately reproduce and predict system behavior. It provides technical support for rapid design, selection, and scheme optimization of hydraulic systems in general scenarios.

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Dynamic analysis of a closed-circuit hydrostatic summation drive using bent axis motors

Cited by 8 publications

References 10 publications

Energy-efficient control of hydrostatic transmission of a front-end loader machine using machine learning algorithm and its sensitivity analysis

Energy-efficient control of hydrostatic transmission of a front-end loader machine using machine learning algorithm and its sensitivity analysis

An optimal-pressure control strategy for hydrostatic wheel loader

Quasi-LPV system modeling and identification of a variable speed electro-mechanical and hydraulic MISO system

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