Mathematical model of the hovercraft lift system

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Abstract

BACKGROUND: Currently, hovercrafts are used worldwide thanks to their amphibian capabilities and mobility at water and slightly prepared areas with low supporting properties. Whereas, in practice, hovercrafts have two main systems ensuring motion, lift and traction which can be combined (operating from a common source of mechanical energy) as well as separated.

This paper considers a hovercraft with separated lift and traction systems. The lift system of this hovercraft consist of piston diesel internal combustion engine (ICE), hydrostatic transmission, axial fans, feeding channel and an air-cushion plenum. The considered variant is chosen because hydrostatic transmission has a number of sufficient advantages in comparison with mechanical transmission with universal shafts and pulley drives, widely used at present time. The paper considers the open plenum lift system.

AIM: Development of the combined mathematical model of the hovercraft lift system consisting of piston diesel ICE, hydrostatic transmission and a fan supplying air into the air-cushion plenum.

METHODS: Using the MATLAB/Simulink environment, the engine power adjustment at hovercraft motion on various ground surfaces is studied with regard to increasing the efficiency of the fan and the whole system. Analytical scheme of the system is given, acceptable transient characteristics are obtained. Efficiency and range of optimal operation of the Sauer-Danfoss pump and hydraulic motor are estimated. The process of hovercraft adjustment from the established mode to a new state when motion condition change is considered.

RESULTS: According to the simulation results, there is influence of the income control signal (adjustment parameter of engine operation modes) and disturbance signal (pressure change coefficient that defines properties of ground surface) on parameters describing the hovercraft motion.

CONCLUSION: The developed mathematical model helps to choose and evaluate adjustment parameters of engine operation modes at hovercraft motion on various ground surfaces, to analyze and to improve the system energy efficiency.

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INTRODUCTION

Currently, hovercrafts are widely used worldwide because of their amphibious capabilities and mobility on water and slightly prepared sites with low load-supporting properties. Vessels of this class are self-supported over ground or water surfaces using an air cushion (AC) created by marine-type fans. Approximately one-third of the total power produced by the hovercraft power plant is consumed on creating this AC, which ensures the lifting of the vessel’s main body.

Modern hovercrafts are classified according to the following main features, which reflect the general structure and operating principles of hovercrafts:

  • degree of interaction between vessel and surface in the hovering and moving modes;
  • AC formation;
  • structure of the AC enclosure [1].

In practice, modern hovercrafts are equipped with two main systems, namely the lifting and traction systems. These systems can be either operated together (i.e., obtaining mechanical energy from a single source) or separately. The traction system is used to create an airflow astern, enabling the hovercraft to move forward. The lifting system is used to provide airflow under the hovercraft body, enabling the hovercraft to float above a surface. The hovercraft traction system is mainly based on dynamic air pressure, whereas the lifting system is mainly based on static pressure, which is determined by the design of the lifting system, its size, and its method of control.

In a hovercraft, where its two main systems are operated separately, the lifting system has several advantages such as simple design, control (including balancing of the vessel) as well as maintenance and repair. However, this hovercraft type requires two independent sources of mechanical energy; one for the lifting system and one for the traction system.

In this hovercraft type, a reciprocating diesel internal combustion engine (ICE) is used as the source of mechanical energy [2, 3].

The main issues that need to be addressed when designing a hovercraft include a reduction in the power consumed on creating the AC, a reasonable ratio of the hover height and vessel size, and improvement in the AC control system during the hovercraft movement.

The objective of this study is to develop a mathematical model of a hovercraft lifting system, which consists of an ICE, a hydrostatic transmission, and a fan that supplies air to the AC (Fig. 1).

 

Fig. 1. Principal block diagram of the hovercraft lift system: eg — adjustment parameter of the engine operating mode; g — cyclic fuel delivery; ωе,  Ме — rotation velocity and torque transmitted from the engine; ωв,  Мв — rotation velocity and torque of the fan; h — hovercraft lift height; Q — air flow rate; pп — excessive pressure in the air-cushion; Kп — the hovercraft motion conditions coefficient.

Рис. 1. Принципиальная блок-схема системы подъёма СВП: eg — параметр регулирования режима работы двигателя; g — цикловая подача топлива; ωе,  Ме — скорость вращения и крутящий момент, передаваемый от двигателя; ωв,  Мв — скорость вращения и крутящий момент вентилятора; h — высота подъёма СВП над опорной поверхностью; Q — расход воздуха; pп — избыточное давление в подушке; Kп — коэффициент, учитывающий условия движения СВП.

 

METHODS AND MATERIALS OF RESEARCH

Mathematical description of the hovercraft fan-air cushion system

For a hovercraft to rise above a surface, air pressure must be created under its bottom as follows:

рп=G/Sп,

where G is the hovercraft mass and Sc is the AC area.

The fan creates an airflow of pressure

pa = Kd pc ,

where Kd is a coefficient representing the pressure drop from the fan to the AC and depends on the airflow, hovercraft design, and surface properties.

The characteristics of the OV-109 fan selected for this study are presented in Fig. 2. The construction of this fan was based on its experimentally verified dimensionless characteristics [4].

 

Fig. 2. Head and rate characteristic of the OV-109 fan at various rotation velocities: point I — the required operation point; η — fan efficiency.

Рис. 2. Напорно-расходная характеристика вентилятора ОВ-109 при разных частотах вращения: точка I — требуемая точка работы; η — КПД вентилятора.

 

When the vessel moves above different surfaces, the pressure loss from the fan to the AC varies, depending on the surface properties. However, the air pressure in the AC must be maintained at a specific value despite the change in pressure loss pa − pc = p (pc: pressure under AC), which also leads to a change in pa. In addition, the vessel weight may change due to the fuel consumed and cargo carried. At the same time, pc changes, causing a change in pa. Thus, the change in pa is equivalent to the change in Kd; this is modeled as a disturbing signal [5].

During mathematical modeling, we assumed that the pressure and air density over the volume of each AC cavity are evenly distributed, and the air compression processes are polytropic.

Mathematical model of the ZMZ-514 diesel engine

In this study, a ZMZ-51432.10 CRS reciprocating diesel engine that meets the technical requirements was used in the hovercraft lifting system.

The engine power, efficiency, acceleration response, reliability, and other parameters were appropriately adjusted to ensure the required performance under specific operating conditions.

Due to the ICE characteristics, the selection of such an engine for transport systems is usually based on the required maximum power. However, in our case, the engine uses its maximum power only for a short period because it operates at partial loads. Therefore, the ICE power must be appropriately adjusted to achieve high efficiency in partial-load mode operation.

In this study, the diesel engine was adjusted by adjusting the cyclic fuel supply [6, 7].

Using the DIESEL-RK program and a method for identifying the engine characteristics, the relationship between the torque Me, the angular speed of rotation ωr of the engine shaft, and the engine operation control parameter eg is given as follows [8]:

Mе=А0+А1ωe+А2ωe2+А3ωe3+А4ωe4​​​​​​​ ,   (1)

where the corresponding coefficients are determined as follows:

A0= 1099.56eg 460.05A1= 20.46eg +  6.94A2= 0.114eg 0.0391A3= 0.00028eg +  9.76E-5A4= 2.58E-7 9.09E-8  (2)

Note that the error of the mathematical description of the ICE operation corresponds to R2 values in the 0.977–0.986 range for Me = f e) and in the 0.971–0.984 range for Ai = f (eg), which are considered satisfactory in this study.

In equation (2), eg=NNmax is the parameter used for adjusting the engine operating mode, where N is the instantaneous engine power and Nmax is the maximum engine power. The range of the eg values used in modeling the engine operating modes was 0.4631 ≤ eg ≤ 0.9539.

The mathematical description of the engine operation enables us to obtain the engine characteristics within acceptable deviations from the initial parameter values and can be used in the developed mathematical model of the hovercraft lifting system along with the mathematical models of other elements of this system [9].

Mathematical model of hydrostatic transmission of the hovercraft lifting system

Hydrostatic transmission has the following significant advantages over mechanical cardan-shaft and belt transmissions, which are widely used nowadays:

  • reliability, high performance, smooth operation, high energy intensity, convenient installation, and easy maintenance.
  • reliable operation at extreme temperatures (−50°C to + 50°C).

A schematic of the hydrostatic transmission of the hovercraft lifting system is shown in Fig. 3. This type of transmission consists of three nonadjusted axial piston hydraulic components, namely, a main pump (2) and two hydraulic motors (5). The pump shaft is driven by the ICE (1). The pump is connected to the hydraulic motors (5) via two pipelines (4). The hydraulic motor shafts are connected to their corresponding AC fans (6).

 

Fig. 3. Principal scheme of the hydrostatic transmission of the hovercraft lift system: 1 — the ZMZ-51432.10 CRS engine; 2 — the Danfoss non-adjustable axial piston pump; 3 — flow from a feeding pump; 4 — a hydraulic line; 5 — the Danfoss non-adjustable axial-piston hydraulic motor; 6 — an axial fan; 7 — a feeding valve.

Рис. 3. Принципиальная схема гидрообъёмной трансмиссии системы подъёма СВП: 1 — двигатель ЗМЗ-51432.10 CRS; 2 — нерегулируемый аксиально-поршневой насос Danfoss; 3 — поток, поступающий от подпиточного насоса; 4 — трубопровод; 5 — нерегулируемый аксиально-поршневой гидромотор Danfoss; 6 — осевой вентилятор; 7 — подпиточный клапан.

 

The leaks of the operating fluid are compensated by the compensation pump (3), which is driven by the main pump shaft. When the pressure in one of the pipelines drops below a permissible level, the corresponding compensation valve (7) opens and lets liquid pass under pressure through the pressure line of the compensation pump until the required pressure level is restored in the pipeline. Afterward, the compensation valve closes under pressure in the pipeline.

In the development of the hydrostatic transmission mathematical model, equations describing the flow balance at the node points of the hydraulic system (considering fluid compressibility), differential equations describing changes in the torque of the shafts of the engine–pump and hydraulic motor–fan systems, and equations describing mechanical energy losses in the hydraulic system [10–12] were used.

RESULTS AND DISCUSSION

Further studies were conducted to analyze the accuracy of the developed mathematical model. For this purpose, we considered the transient processes associated with the regulation of the hovercraft lifting system when the hovercraft movement conditions change from one established mode to another.

The hovercraft movement mode was adopted as the base mode, which was characterized by the following parameters: fan rotation speed nr = 2500 rpm; AC pressure pc = 853 Pa, hovercraft airflow rate Q = 22.76 m3/s, and Kd = 1.5.

These parameters were used as the initial conditions for the transient processes.

Hovercraft control by adjusting the engine operating mode

During modeling, eg was considered as the input (control) signal; Kd was considered as a disturbing signal caused by the change in surface properties during the hovercraft movement.

The following two cases were considered:

1) Kd changes from 1.5 to 1.1;

2) Kd changes from 1.5 to 1.7.

MATLAB Simulink was used to simulate the hydraulic drive. The simulation results are presented in the form of transient processes (Figs. 4 and Fig. 5).

 

Fig. 4. Transient processes at Kп decreasing: a — engine adjustment parameter eg; b — signal Kп; c — engine rotation velocity nд; d — fan rotation velocity nв; e — fan efficiency ηв; f — hovercraft height above the ground h; g — engine power Ng.

Рис. 4. Переходные процессы при уменьшении Kп: a — параметр регулирования двигателя ; b — сигнал Kп; c — частота вращения двигателя nд; d — частота вращения вентилятора nв; e — КПД вентилятора ηв ; f — высота СВП над опорной поверхностью h; g — мощность двигателя Ng.

 

Fig. 5. Transient processes at Kп increasing: a — engine adjustment parameter eg; b — signal Kп; c — engine rotation velocity nд; d — fan rotation velocity nв; e — fan efficiency ηв ; f — hovercraft height above the ground h; g — engine power Ng .

Рис. 5. Переходные процессы при увеличении Kп: a — параметр регулирования двигателя eg; b — сигнал Kп; c — частота вращения двигателя nд; d — частота вращения вентилятора nв; e — КПД вентилятора ηв; f — высота СВП над опорной поверхностью h; g — мощность двигателя Ng .

 

In case 1, a change in pressure at second 1 of the simulated process (Fig. 4) due to a change in Kd caused a change in the output signals presented in Fig. 4, namely, the hovercraft height above the surface, the rotational speed of the hydraulic motor and fan shafts, the rotational speed of the engine and pump shafts, the efficiency of the fan, pump, hydraulic motor, and engine power.

The steady-state values of the system design parameters when Kd changes from 1.5 to 1.1 in the absence of control are presented in Table 1; the parameter values when using the proposed control system are presented in line engine control EC (engine control).

 

Table 1. The system 1 parameters

Таблица 1. Параметры системы-1

Kпeg

nд, rpm

pc, MPa

nr, rpm

ηн, %

ηг, %

ηв, %

h, mm

Ng , kW

1,5

0,68

2659

25,44

2479

88,98

89,10

71,65

39,95

50,47

1,1

0,68

2719

25,41

2537

88,98

89,10

64,59

50,16

51,55

РД

0,51

2361

19,07

2256

88,91

89,67

70,68

40,06

33,89

 

The analysis showed that when Kd decreases from 1.5 to 1.1, which corresponds to the hovercraft movement from a high-Kd surface to a low-Kd surface, the airflow in AC increases, resulting in an increase in the hovercraft height h above the surface. This leads to a change in the fan operating point, which departs from its highest efficiency (the fan efficiency decreases from 71.65% to 64.59%). A decrease in eg from 0.68 to 0.51 at second 4 of the simulated process causes a decrease in the amount of fuel consumed by the engine, leading to a decrease in the rotation speed of the pump and hydraulic motor shafts. As a result, the airflow in AC decreases, and the hovercraft height decreases to its initial value. This enables the hovercraft to save energy under easier conditions than those corresponding to Kd = 1.5. The fan operating point also returns to its initial highest efficiency value.

In case 2, when the surface properties change during the hovercraft movement, the pressure in AC increases due to an increase in Kd from 1.5 to 1.7. The simulation results are presented in the form of transient processes shown in Fig. 5.

The analysis showed that when Kd increases from 1.5 to 1.7, which corresponds to the hovercraft movement from a low-Kd surface to a high-Kd surface, the airflow in AC decreases, resulting in a decrease in the hovercraft height h above the surface. This leads to a change in the fan operating point, which departs from its highest efficiency (the fan efficiency decreases from 71.65% to 63.72%). An increase in eg from 0.68 to 0.75 at second 4 of the simulated process causes an increase in the amount of fuel consumed by the engine, leading to an increase in the rotation speed of the pump and hydraulic motor shafts. As a result, the airflow in AC increases, and the hovercraft height increases to its initial value, allowing the hovercraft to improve its ability to move under new conditions. The fan operating point also returns to its initial highest efficiency value. It is evident that in case 2, the fuel consumption increases to enable the hovercraft to operate under heavier conditions than those corresponding to Kd = 1.5.

The steady-state values of the system design parameters when Kd changes from 1.5 to 1.7 are presented in Table 2 after adjusting the operating mode.

 

Table 2. The system 2 parameters

Таблица 2. Параметры системы-2

Kпeg

nд, rpm

Pc, MPa

nr, rpm

ηн, %

ηг, %

ηв, %

h, mm

Ng , kW

1,5

0,68

2659

25,44

2479

88,98

89,10

71,65

39,95

50,47

1,7

0,68

2724

25,40

2542

88,98

89,10

63,72

32,07

51,63

РД

0,75

2829

28,08

2610

88,88

88,79

70,91

40,63

59,02

 

CONCLUSION

We developed a mathematical model of the hydraulic transmission and fan of a hovercraft based on experimental data. The model employs real calculation methods and produces fairly accurate results that are significant in practice. Additionally, it can be used for the selection and evaluation of the optimal speed of the hydraulic motor and fan shafts when the hovercraft moves above specific surfaces by employing an engine operation control parameter. Furthermore, it can be used to monitor changes in the pump and hydraulic motor efficiencies as well as changes in the hydraulic transmission parameters.

The simulation of the engine, hydraulic transmission, and the fan that supplies air to AC enables us to determine the system characteristics. It also enables us to study the changes in parameters and control methods as well as to assess the impact of a component on other components and the operation of the entire system, resulting in reduced design time and cost.

ADDITIONAL INFORMATION

Authors’ contribution. Van Hoa Nguyen ― search for publications, writing the text of the manuscript; A.V. Lepeshkin ― scientific supervision, editing the text of the manuscript, approval of the final version; N.G. Sosnovsky ― scientific supervision, editing the text of the manuscript, approval of the final version. All authors made a substantial contribution to the conception of the work, acquisition, analysis, interpretation of data for the work, drafting and revising the work, final approval of the version to be published and agree to be accountable for all aspects of the work.

Competing interests. The authors declare that they have no competing interests.

Funding source. This study was not supported by any external sources of funding.

ДОПОЛНИТЕЛЬНО

Вклад авторов. Ван Хоа Нгуен ― поиск публикаций по теме статьи, выполнение исследований, написание текста рукописи; А.В. Лепешкин ― научное руководство, редактирование текста рукописи, утверждение финальной версии; Н.Г. Сосновский ― научное руководство, редактирование текста рукописи, утверждение финальной версии. Авторы подтверждают соответствие своего авторства международным критериям ICMJE (все авторы внесли существенный вклад в разработку концепции, проведение исследования и подготовку статьи, прочли и одобрили финальную версию перед публикацией).

Конфликт интересов. Авторы декларируют отсутствие явных и потенциальных конфликтов интересов, связанных с публикацией настоящей статьи.

Источник финансирования. Авторы заявляют об отсутствии внешнего финансирования при проведении исследования.

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About the authors

Alexander V. Lepeshkin

Moscow Polytechnic University

Email: lep@mami.ru
ORCID iD: 0000-0002-5590-7422
SPIN-code: 4412-6948

Professor, Cand. Sci. (Tech.), Professor of the Industrial Heat Power Engineering Department

Russian Federation, Moscow

Nikolay G. Sosnovsky

Bauman Moscow State Technical University

Email: sosn60@mail.ru
ORCID iD: 0009-0001-3474-9058
SPIN-code: 2272-9699

Cand. Sci. (Tech.), Associate Professor of the Hydromechanics, Hydromachines and Hydro-Pneumoautomatics Department

Russian Federation, Moscow

Van Hoa Nguyen

Bauman Moscow State Technical University

Author for correspondence.
Email: thoigian226@gmail.com
ORCID iD: 0009-0000-0843-2738
SPIN-code: 7676-2873

Postgraduate of the Hydromechanics, Hydromachines and Hydro-Pneumoautomatics Department

Russian Federation, Moscow

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Supplementary files

Supplementary Files
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1. JATS XML
2. Fig. 1. Principal block diagram of the hovercraft lift system:  — adjustment parameter of the engine operating mode; g — cyclic fuel delivery;  — rotation velocity and torque transmitted from the engine;  — rotation velocity and torque of the fan; h — hovercraft lift height; Q — air flow rate;  — excessive pressure in the air-cushion;  — the hovercraft motion conditions coefficient.

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3. Fig. 2. Head and rate characteristic of the OV-109 fan at various rotation velocities: point I — the required operation point; η — fan efficiency.

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4. Fig. 3. Principal scheme of the hydrostatic transmission of the hovercraft lift system: 1 — the ZMZ-51432.10 CRS engine; 2 — the Danfoss non-adjustable axial piston pump; 3 — flow from a feeding pump; 4 — a hydraulic line; 5 — the Danfoss non-adjustable axial-piston hydraulic motor; 6 — an axial fan; 7 — a feeding valve.

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5. Fig. 4. Transient processes at  decreasing: a — engine adjustment parameter ; b — signal ; c — engine rotation velocity ; d — fan rotation velocity ; e — fan efficiency ηв; f — hovercraft height above the ground h; g — engine power Ng.

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6. Fig. 5. Transient processes at  increasing: a — engine adjustment parameter ; b — signal ; c — engine rotation velocity ; d — fan rotation velocity ; e — fan efficiency ηв ; f — hovercraft height above the ground h; g — engine power Ng .

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