Hindawi Publishing Corporation International Journal of Aerospace Engineering Volume 2015, Article ID 141906, 8 pages http://dx.doi.org/10.1155/2015/141906
Research Article Equilibrium Positions for UAV Flight by Dynamic Soaring
Bingjie Zhu,1 Zhongxi Hou,1 Shangqiu Shan,1 and Xinzhu Wang2
1 College of Aerospace Sciences and Engineering, National University of Defense Technology, Changsha, Hunan 410073, China 2Chongqing Key Laboratory of Heterogeneous Material Mechanics, Department of Engineering Mechanics, Postdoctoral Station of Mechanics, Chongqing University, Chongqing 400040, China
Correspondence should be addressed to Bingjie Zhu; [email protected]
Received 23 June 2015; Revised 22 September 2015; Accepted 30 September 2015
Academic Editor: Hyochoong Bang
Copyright Β© 2015 Bingjie Zhu et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Dynamic soaring is a special flying technique designed to allow UAVs (unmanned aerial vehicles) to extract energy from wind gradient field and enable UAVs to increase the endurance. In order to figure out the energy-extraction mechanisms in dynamic soaring, a noninertial wind relative reference frame of aircraft is built. In the noninertial frame, there is an inertial force which is created by gradient wind field. When the wind gradient (πΊπ) and the components of airspeed (Vπ§Vπ₯) are positive, inertial force (πΉ) makes positive work to the aircraft. In the meantime, an equilibrium position theory of dynamic soaring is proposed. Atthe equilibrium positions, the increased potential energy is greater than the wasted kinetic energy when the aircraft is flying upwards. The mechanical energy is increased in this way, and the aircraft can store energy for flight. According to the extreme valuetheory, contour line figures of the maximum function and the component of airspeed (Vπ§) are obtained to find out the aircraftβs lifting balance allowance in dynamic soaring. Moreover, this equilibrium position theory can also help to conduct an aircraft to acquire energy from the environment constantly.
1. Introduction flight performance are taken as a reference model against the dynamic soaring performance of a small UAV. Long endurance flight is a key design criterion for unmanned Dynamic soaring is an important flight technique de- aerialvehicle[1].TheUAVsβflightendurancecanbeimproved signed to allow aircraft to extract energy from atmosphere. bytheprogressinpowercapacityandaerodynamicand BasedonLordRayleighβsobservationsofalbatrossesinthe engine design [2], but not all such means are equal. Another south Atlantic, more recent publications are concerned with important alternative for enhancing UAV flight endurance wind estimated and dynamic soaring mechanism. In order is to seek energy from flight environment. In nature, there to estimate wind field for autonomous dynamic soaring, are many large-sized birds which make use of environment Lawrance et al. [7, 8] provided a method for taking direct energy to enhance their flight ability, such as wandering observations of the wind during flight and creating a wind albatross who extracts energy from horizontally moving air to direct future exploration. The wind estimation is the pre- and transfers energy to itself. The achieved energy enables condition for dynamic soaring. In this paper, a mathematical wandering albatrosses to fly continuously without flapping model is built for the wind field. As for dynamic soaring their wings [3, 4]. The flight manoeuvre that wandering mechanism, Grenestedt [9] provided insight into how and albatross performs is referred to as dynamic soaring [5]. Early where energy is extracted from the wind during dynamic in 1883, Lord Rayleigh published βThe Soaring of Birdsβ in soaring. The effects of some aircraft parameters such as mass, Nature [6], which is regarded as the first paper about dynamic drag area, and wing span were discussed. Bower [5] studied soaring. Dynamic soaring is possible when there is hori- the energy transfer mechanisms for a vehicle flying in a zontally moving air in the flight environment. Horizontally spatiallyandtemporallyvaryingwindfield.Deittertetal.[10] moving air is also called gradient wind, in which wind investigated optimal trajectories for minimal and maximal speed varies with altitude. In this paper, both the size of wind conditions, and the likelihood of favorable winds was the wandering albatrosses with its 3.3 m wing span and its predicted based on long-term weather statics and knowledge 2 International Journal of Aerospace Engineering of minimal and maximal permissible wind strengths. Cone 100 [11] analyzed the dynamic soaring flight of albatross with 80 mathematical models. Peter [12] draw a conclusion that, in an energy neutral cycle of dynamic soaring, whether the vehicle 60
returns to initial velocity and height with no power input (m) z 40 depends only upon the maximum lift-to-drag ratio of the vehicleandthewindspeedvariation. 20 Scores of research findings reveal the significant meaning 0 of dynamic soaring. Based on the achievements of these 0 3 6 9 12 15 findings, some new ideas are studied in this paper. The W (m/s) authors first extend the idea of Grenestedt [9] by investigating the equilibrium position of dynamic soaring and providing Wind speed insight into energy variation in equilibrium position. The Wind gradient same as other flight styles, they applied forces on the aircraft Figure 1: Wind speed and wind gradient. for dynamic soaring varying continuously. Then there should be some positions of forces balance in the course of flight. At these points, the aircraft stays in a certain speed, with no kinetic energy loss. Of course, if all the points could chain a π(π§) andheightabovethesurfaceπ§ is defined as follows closed route, the permanent flying would come true when the [13, 14]: aircraft flies along the route. (π§/π§ ) The rest of the paper is organized as follows: the method- π (π§) =π ln 0 , ology is described in Section 2, including the wind gradient ref (π§ /π§ ) (1) ln ref 0 and the mathematical models for the UAV. Section 3 is simulation results and associated discussion. Finally, the π(π§) π§ π where isthewindspeedatheight and ref is the concluding remarks are made in Section 4. π§ π§ wind speed at the reference height ref.Thevariable 0 is the aerodynamic roughness length or the roughness factor. It is 2. Mathematical Formulations of the Problem an experimentally derived constant that accounts for the kind of surface over which the wind is blowing. Typically, a higher Inspired by the forces analysis methods in dynamic soaring value of the roughness length indicates more obstructions suggested by Bower [5] and Deittert et al. [10], the problem on the surface such as trees and buildings. By differentiating of equilibrium position for dynamic soaring is analyzed (1) with respect to altitude, the following equation can be intensively in this paper. The parameters that can influence obtained: the equilibrium position include the range of airspeed, the π size of wind gradient, and other parameters. Meanwhile, the πΜ (π§) = ref =πΊ , (π§ /π§ )β π§ π (2) maximum value of energy acquired in the equilibrium point ln ref 0 is analyzed. Once the parameters of an aircraft are known, the wind gradient suited for the equilibrium position of dynamic where πΊπ is the gradient of the wind field. The variation soaring can be determined. Similarly, in a known wind field, trends of wind profile and wind gradient profile are depicted the type of aircraft that has equilibrium point in dynamic in Figure 1. soaring can be found out. A set of computational methods for Figure1showsthewindprofileandwindgradientprofile π =15 equilibrium position of dynamic soaring is established. The for value of the roughness coefficient with ref m/s, π§ = 100 π§ = 0.05 purposeofthissectionistoprovideatheoreticalguidance ref m, and 0 m. for the optimal dynamic soaring trajectory by means of the analysis of equilibrium position of dynamic soaring. Due 2.2. Flying Model. According to the observed data of dynamic to no kinetic energy loss in the position of forces balance, soaring [4], the albatross climbs with headwind, and the wind the mechanical energy increases with increasing value of speed increases with the increasing of flight height. After potential energy of the aircraft in the course of upward turning in high altitude, the albatross glides with leeward, flying. and the wind speed decreases with the descending of flight height. An illustration of a typical dynamic soaring trajectory 2.1. The Wind Field Model. It is assumed that the air- is shown in Figure 2. craftfliesoveraflatsurfaceandthewindfieldissteady. Compared with Earth fixed frame, the wind relative There is a horizontal shear flow of the air in the three- reference frame of aircraft is not inertial frame in the wind dimensionalspace.Theflowoftheaircausesthewind field. So there is an inertial force πΉπ that works on the aircraft. speed to increase with increasing height above the ground. A noninertial frame is defined, which is the wind relative The air density is assumed to be constant. The wind blows reference frame of aircraft. In the noninertial frame, there are along the negative direction of π₯-axis, the positive π§-axis four applied forces accounted for the aircraft: lift forceπΏ ( ), points to the sky, and the direction of π¦-axis is dependent drag force (π·), gravitational force (ππ), and inertial force on right-handed rule. The relation between wind speed (πΉπ). The inertial force is created by wind, so the direction of International Journal of Aerospace Engineering 3
where π is air density, π is wing area, πΆπΏ is lift coefficient, Wx πΆπ· is drag coefficient, V is the airspeed of the aircraft, πΆπ·0 2 is the parasitic drag coefficient, and πΎπΆ is the induced drag B πΏ C coefficient. Note that πΏ 2 β1 A πΎ=(4( ) πΆ ) , D π·0 (8) E π· max
where (πΏ/π·)max is the maximum lift over drag ratio, which, together with πΆπ·0, is the most important aircraft aerody- Figure 2: The illustration trajectory of dynamic soaring. namic efficiency parameters and fully defines the aerody- namic drag polar. Z Inthecourseofflight,thedirectionofliftiscrosscutto drag all the time, so the resultant force (πΉ) of lift and drag can F v be indicated as σ³° L F1 1 Y |πΉ| = βπΏ2 +π·2 = V2ππβπΆ2 +πΆ2 . 2 πΏ π· (9)
πΏ mGW z From (9), the airspeed (V)oftheaircraftis πΏ1 D 2 |πΉ| F1 X |V| = . mg β (10) β 2 2 ππ πΆπΏ +πΆπ·
σΈ When the value of πΉ is equal to πΉ1,therelationship Figure 3: The applied forces for the UAV. between V and Vπ§ canbeattainedby(10). As for the energy variation, first of all, considering the theorem of kinetic energy in the noninertial frame, the force is the same as the wind direction. The inertial force 2 can be expressed as [10, 15, 16] ππΈπ =βππ· |V| ππ+ππΊπVπ§ππ₯ β ππππ§, (11) ππβσ³¨ ππ ππ§βσ³¨ βσ³¨ ππΈ ππ πΉ =βπ π =βπ β π =βππΊ V π , (3) where π is the variation of kinetic energy, is the identity π ππ‘ ππ§ ππ‘ π π§ element of flight trajectory, and ππ· =1/2πππΆπ·.Theright- where π istheunitvectorofwindfieldandVπ§ is the airspeed hand side of (11) is infinitesimal energy expressions caused by component in the direction of positive π§-axis. So a point drag force, inertial force, and gravitational force. The lift force πΏ mass flight model with attached forces is adopted, and the ( ) is vertical to the direction of motion, so there is no kinetic definitions of forces, speed, and angles used in the model energy variation of UAV caused by lift force. ππ = Vππ‘ ππ₯ = V ππ‘ V are shown in Figure 3. The UAV is represented by a three- If , π₯ ,and π₯ is the airspeed component π₯ dimensionalpoint-massmodelwith3DOF.FromFigure3, in the direction of positive , (11) then transforms into πΉ is the resultant force of liftπΏ ( )anddrag(π·), πΏ is the angle ππΈ =(βπ |V|3 +ππΊ V V )ππ‘βππππ§. between πΉ and π·, πΉ1 is the resultant force of gravity (ππ)and π π· π π§ π₯ (12) σΈ inertial force (ππΊπVπ§), and πΉ1 is the reverse force of πΉ1.The wind blows in the direction of position π. The integration of (12) can be expressed as The barycenter kinetics equation of aircraft in the nonin- 3 ertial frame is represented as πΈππ βπΈπ0 = β« (βππ· |V| +ππΊπVπ§Vπ₯)ππ‘ V(π‘) βσ³¨Μ βσ³¨ βσ³¨ βσ³¨ βσ³¨ (13) π V = πΏ+π·+ππβππΊπVπ§ π, (4) βππ(π§π βπ§0), βσ³¨Μ βσ³¨ where V is the acceleration vector of airspeed, πΏ is the vector βσ³¨ where πΈππ is the kinetic energy at height of π§π and πΈπ0 is the π· πβσ³¨π of lift, isthevectorofdrag,and isthevectorofgravity. kinetic energy at height of π§0.Aftertheaircraftflyaperiodof The last expression in (4) is the inertial force. time, if the kinetic energy of aircraft keeps in a constant value, Using the standard formulations for lift and drag force, the energy variation of this process could be indicated by the change of altitude difference, and (13) can now be stated to be 1 2 πΏ= πππΆ V , (5) 2 πΏ 1 Ξπ§ = β« (βπ |V|3 +ππΊ V V )ππ‘. 1 ππ π· π π§ π₯ (14) π·= πππΆ V2, V(π‘) 2 π· (6) Ξπ§ is the variation of flight height. From (14), it can be 2 πΆπ· =πΆπ·0 +πΎπΆπΏ, (7) found that the drag (π·)andinertialforce(πΉπ)bringabout 4 International Journal of Aerospace Engineering
the variation of altitude or the variation of potential energy. Vπ§ =0, there is no balance point, because there is no inertial Thatistosay,aslongastherewaswindgradient(πΊπ)inthe forcetocompensatethedrag. wind field, the aircraft could extract energy from the wind Alternatively, (18) can be expressed in another way: field in the suitable Vπ₯ and Vπ§.In(14),thedrag(π·)makes πΉ negative work all the time, but inertial force ( π)doespositive βπΏ2 +π·2 = βπ2π2 +π2πΊ2 V2. (19) or negative work to the aircraft, depending on the specific π π§ cases. If πΊπ >0and Vπ§Vπ₯ >0,inthiscase,inertialforce(πΉπ) Combining (5)-(6), (10), and (19), there is doespositiveworktotheaircraft.ForthewindfieldπΊπ >0, the following relation must hold: π2π2 +π2πΊ2 V2 V4 = π π§ , V >0, 2 (20) π₯ ππ
Vπ§ >0 (15) where or Vπ₯ <0, 2 1 2 2 2 2 2 2 ππ = (π π πΆπΏ +π π πΆπ·). (21) Vπ§ <0. 4
That is, the aircraft climbs in the positive direction of π₯-π§ Equation (20) describes the relationship between V and Vπ§ or dives in the negative direction of π₯-π§; the aircraft extracts in the balance point. Simultaneously, (20) ensured that the energy. If the maneuver is reversed, the aircraft loses energy. size of aerodynamic force is equal to the resultant force of The mechanical energy of the aircraft is denoted as πΈπ.The gravitation and inertial force. variation of mechanical energy is equal to the energy caused Then, the only restriction to airspeed is the bank angle of by drag and inertial force. The identity element of mechanical air velocity vector, which is defined as π. There is a unique energy can be expressed as bank angle to enable forces to be balanced; it is necessary to figure out that the bank angle, which made the included angle ππΈπ =π·β ππ+ππΊπ€Vπ§ππ₯ between air velocity vector (V)andπΉ1,isπΏ1,whereπΉ1 is the ππ ππΊπVπ§ 2 resultant force of gravity ( )andinertialforce( ). In =βππ· βVβ β ππ+πβ πΊπ β Vπ§ β ππ₯ Figure 3, the included angle between airspeed vector (V)and πΉ1 canberepressedas ππ₯ =π(π βVβ3 β ππ‘+πΊ β V β β ππ‘) (16) π· π π§ ππ‘ βσ³¨ βσ³¨ πΉ 1 β V cos πΏ1 = σ΅¨ σ΅¨ . (22) π 3 σ΅¨πΉ σ΅¨ β V =πβ ππ‘(β π· βVβ +πΊ β V β V ). σ΅¨ 1σ΅¨ | | π π π§ π₯ When πΏ=πΏ1,inthiscase,theaerodynamicforceappears So the unit mass power of mechanical energy is to get across the inverse direction of the resultant force of gravitation and inertial force. Hence, 1 ππΈ π 3 π =β π· βVβ +πΊ β V (π‘) β V (π‘) , (17) π ππ‘ π π π§ π₯ βσ³¨ πΉ β βσ³¨V π· πΏ = σ΅¨ 1σ΅¨ = πΏ= . (23) where v is the airspeed. Actually, (17) and (14) mean the same cos 1 σ΅¨ σ΅¨ cos 2 2 σ΅¨πΉ1σ΅¨ β |V| βπΏ +π· things. With the geometrical relationship of forces balanced, one 2.3. The Balance Points of Dynamic Soaring. In the point of can acquire the space curve of Vπ₯ Γ Vπ¦ Γ Vπ§,whichisobtained balance, the composition of driving force vectors is zero, and by projecting the four-dimensional space Vπ₯ Γ Vπ¦ Γ Vπ§ Γπinto theresultantforceofaircraftiszero.Thedynamicalequation three-dimensional space. The fundamental is to find outa in noninertial system can be expressed as suitable aerodynamic force to compensate the resultant force of gravitation and inertial force. βσ³¨ βσ³¨ βσ³¨ βσ³¨ βσ³¨ πΏ+π·+ππ+ππΊπ€Vπ§ π=0. (18) The resultant force of gravitation and inertial force βσ³¨ βσ³¨ πΉ=[ππΊπVπ§,0,βππ], air velocity vector V =[Vπ cos(π), Because the ground speed of the aircraft remains constant V (π), V ] V = βV2 β V2 in the balance point, that is to say, the kinetic energy of the π sin π§ ,and π π§; combining (20) and (23), flight system remains constant. When Vπ§ >0,thepotential there is energy of the flight system increases with increase in flight altitude, and the mechanical energy increases at the same π π2π2 +π2πΊ2 V2 π V <0 πΊ V ββ π π§ β V2 πβ V π time. On the other hand, when π§ , the mechanical energy π π§ 2 π§ cos π§ ππ ππ ππ of the aircraft would not always increase, in which case, some (24) studies need to be done in the future. Here, the balance point 2 2 2 2 2 3/4 V >0 V <0 π πΊ V +π π is called lifting balance point when π§ ;whilewhen π§ , =( π π§ ) πΏ. 2 cos the balance point is called descending balance point. When ππ International Journal of Aerospace Engineering 5
GW = 0.5 GW = 1.0 GW = 1.5 1 1 1
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β30 β20 β10 0 10 20 30 β30 β20 β10 0 10 20 30 β30 β20 β10 0 10 20 30
z z z β0.5 β0.5 β0.5
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CL = 0.5 CL = 1.0 CL = 1.5 CL = 0.5 CL = 1.0 CL = 1.5 CL = 0.5 CL = 1.0 CL = 1.5 CL = 0.5 CL = 1.0 CL = 1.5 CL = 0.5 CL = 1.0 CL = 1.5 CL = 0.5 CL = 1.0 CL = 1.5
(a) When πΊπ =0.5, πΆπΏ =0.5,1.0,and1.5,the (b) When πΊπ =1.0, πΆπΏ =0.5,1.0,and1.5,the (c) When πΊπ =1.5, πΆπΏ =0.5, 1.0, and 1.5, the extent of Vπ§ extent of Vπ§ extent of Vπ§
Figure 4: The extent of Vπ§, three typical values of πΊπ, πΆπΏ are selected, which can tell the relationship between albatrossβ Vπ§, πΊπ,andπΆπΏ.
Let Table 1: Albatross and UAV demonstrator parameter values used. π π 2 π= = β , Parameter Albatross UAV demonstrator ππ π πβπΆ2 +πΆ2 (25) Mass [kg] 8.5 5.5 πΏ π· 2 Wing area π [m ] 0.65 0.68088 where π/π is the wing loading. Aspect ratio 16.81 16.81 From (24) and (25), Span [m] 3.306 2.61 3 π [kg/m ] 1.22 1.22 cos πΏ=π(Vπ§) πΆπ·0 0.033 0.033
πΈmax 20 21 β 2 2 2 2 2 2 (26) πΊπ β Vπ§ βπ π +π πΊπVπ§ β Vπ§ cos πβVπ§π = βπ(π2 +πΊ2 V2)3/4 π π§ inspired by albatross, wandering albatrossβ parameters used bySachs[4]areassumed.Basedonthearchitectureofa which is subjected to the constraint wandering albatross, an aircraft demonstrator model is used 4 2 2 2 2 2 V βπ πΊ V βπ π β€0. (27) as a reference. The UAV demonstrator has similarities in π§ π π§ dimensionaswellastheperformanceswithalbatross.This Obviously, there are two roots for (27), a positive root and a will ensure that the performances of the aircraft model are negative root. Moreover, the value of positive root is greater achievable by an engineering-designed vehicle. The param- than the absolute value of negative root. Thus, there is eter values of albatross and UAV demonstrator are given in Table 1, where πΈmax is the maximum lift-to-drag ratio. Compared with the albatross, the UAV demonstrator has π2πΊ2 + βπ4πΊ4 +4π2π2 β π π a lighter mass. Furthermore, the flying ability close to the β β€ V 2 π§ ground surface of the UAV demonstrator is limited, while (28) albatross can fly with a wing tip touching the water. For π2πΊ2 + βπ4πΊ4 +4π2π2 the reason of security, the UAV demonstrator has a smaller β π π β€ wingspan. The aerofoil of UAV demonstrator is E214, which 2 makes the vehicle have a better performance than albatross, reaching a maximum lift-to-drag ratio of 21. which is one of constraint conditions for the solution of (26). From(26),itcanbefoundthattherelationshipbetween variables cos(πΏ) and cos(π) is linear and the value of cos(π) 3. Simulation Results and Discussions is located in the interval [β1, 1],sotherangeofcos(πΏ) can be defined. The extent of albatrossβ Vπ§ and UAV demonstratorβs Because there is no closed form solution for the balance Vπ§ is shown in Figures 4 and 5, respectively. points in dynamic soaring, numerical investigations are In Figures 4 and 5, the black horizontal dotted line carried out instead. As dynamic soaring flight is directly represents cos(πΏ).Thesolidcurverepresentsthevariationof 6 International Journal of Aerospace Engineering
G = 1.0 GW = 0.5 W G = 1.5 1 W 1 1
0.5 0.5 0.5
β30 β20 β10 0 10 20 30 β30 β20 β10 0 10 20 30 β30 β20 β10 0 10 20 30 z z z β0.5 β0.5 β0.5
β1 β1 β1
CL = 0.5 CL = 1.0 CL = 1.5 CL = 0.5 CL = 1.0 CL = 1.5 CL = 0.5 CL = 1.0 CL = 1.5 CL = 0.5 CL = 1.0 CL = 1.5 CL = 0.5 CL = 1.0 CL = 1.5 CL = 0.5 CL = 1.0 CL = 1.5
(a) When πΊπ =0.5, πΆπΏ =0.5,1.0,and1.5,the (b) When πΊπ =1.0, πΆπΏ =0.5,1.0,and1.5,the (c) When πΊπ =1.5, πΆπΏ =0.5, 1.0, and 1.5, the extent of Vπ§ extent of Vπ§ extent of Vπ§
Figure 5: The extent of UAV demonstratorβs Vπ§, three typical values of πΊπ, πΆπΏ are selected.
β 2 2 2 2 2 2 β 2 2 2 3/4 Equation (31) then is converted to βπΊπ β Vπ§ βπ π +π πΊπVπ§ β Vπ§ β Vπ§π/ π(π +πΊπVπ§) .
β 2 2 2 2 2 2 {πΊ β V ββπ2π2 +π2πΊ2 V2 β V2 πβV π} The dotted curve represents πΊπ β Vπ§ βπ π +π πΊπVπ§ β Vπ§ β { π π§ π π§ π§ cos π§ } max , (32) 2 2 2 3/4 0β€V β€V { 2 3/4 } β π§ π§ max { βπ(π2 +πΊ V2) } Vπ§π/ π(π +πΊπVπ§) .FromFigures4and5,itcanbefound π π§ { } that, no matter what set of parameters (πΊπ, πΆπΏ)areselected, there always exists a balance point in the course of dynamic where soaring. In the range of Vπ§ <0,themaximumvalueofthe solidlineisgreaterthanone,andsolidlineanddottedlinego π2πΊ2 + βπ4πΊ4 +4π2π2 through the original point. That is, cos(πΏ) has corresponding β π π (33) Vπ§ max = . value in the area of Vπ§ <0.Furthermore,intheareaofVπ§ >0, 2 the right-hand limit of (28) includes values which are greater than zero, then the expression of right-hand limit should be In order to obtain the maximum value of (32), another func- in the phase of lifting at zero point, and the derived function tion π is created: of right-hand limit should be greater than zero at zero point; that is, β 2 2 2 2 2 2 πΊπ β Vπ§ βπ π +π πΊπVπ§ β Vπ§ β Vπ§π π= . (34) 3/4 σΈ πΊπβππ βπ βπ(π2 +πΊ2 V2) π (Vπ§)V =0 = >0. (29) π π§ π§ ππ3 The contour line figure of albatrossβ max π and Vπ§ max is Hence, expressed in Figures 6 and 7. The contour line figure of UAV demonstratorβs max π and π Vπ§ max is expressed in Figures 8 and 9. πΊ > β . (30) π π From Figure 6, it is obvious that max π has many values greater than zero. That is to say, (31) has reasonable solutions. In (30), there is not enough evidence to say that there From Figure 7, the maximum value of Vπ§ for the albatrossβ exists balance point in the area of Vπ§ >0.FromFigures4and lifting balance allowance in dynamic soaring can be found. 5,itcanbefoundthatthemaximumvalueoftheright-hand For example, if the lift coefficient of albatross (πΆπΏ albatross)is1 limit of (26) cannot be less than cos(πΏ);thatis, andthegradientofthewindfield(πΊπ)is1,inFigure6,the value of max π is 0.4. Compared with Figure 7, Vπ§ =9m/s; combining with (20), it can be found that V = 17.0 m/s. That {πΊ β V ββπ2π2 +π2πΊ2 V2 β V2 πβV π} { π π§ π π§ π§ cos π§ } is to say, when albatrossβ airspeed reaches 17.0 m/s, there exists max { } { β 2 2 2 3/4 } equilibrium point in this wind field. Just getting the value of π(π +πΊπVπ§) (31) { } airspeed is not enough to make conclusions. The restriction to airspeed is the bank angle of air velocity vector, which β cos πΏ>0. is defined as π.Withthegeometricalrelationshipofforces International Journal of Aerospace Engineering 7
5 5 5 1.2 0. 1.1 max f max f 1 1.2 0.9 1.1 0.3 4 1 4 0.8 0.9 0.7 0.4 0.8 0.7 0.2 0.6 0.6 0.5 0.3 3 0.4 0.1 3 0.2 W 0 G W
G 0.1 2 2 0.3 0 0.2 0.5 1 0.1 0 0.4 0.4 1 0.80.70.60.5 0.3 1.211.10.9 0.6 0.2 0 0.80.7 0.10 0 0.5 1 1.5 2 2.5 3 1.11 0.9 0 1.2 0 0.5 1 1.5 2 2.5 3 CL
CL Figure 8: The contour line of (UAV demonstrator) max π. Figure 6: The contour line of (albatross) max π. 5
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G 5 1 2 2 1 0 1 0 zmax 4 3
2930232427262822521192011716151121121988347065 1 2 0 4 3 10 zmax 0 0.5 1 1.5 2 2.5 3 5 911910876 0 4 30228272526232421223201917181615141312 CL 0 0.5 1 1.5 2 2.5 3 Figure 9: The contour line of (UAV demonstrator) Vπ§ max. CL
Figure 7: The contour line of (albatross) Vπ§ max. the mechanical energy variation of the aircraft equals the energy caused by drag and inertial force. When the wind balanced, one can acquire the space curve of Vπ₯ Γ Vπ¦ Γ Vπ§, gradient πΊπ >0and Vπ§Vπ₯ >0(Vπ₯, Vπ§ are the airspeed which is obtained by projecting the four-dimensional space component in the direction of positive π₯-axis and π§-axis), Vπ₯ΓVπ¦ΓVπ§Γπinto three-dimensional space. The fundamental the inertial force (πΉ)doespositiveworktotheaircraft.The istofindoutasuitableaerodynamicforcetocompensate mechanical energy variation for unit mass is influenced by the resultant force of gravitation and inertial force. From wind gradient, mass (π), and drag coefficient. (24),(25),and(26),thevaluerangeofthebankangleis β β Because of the existence of the gradient wind field, there [30 ,60 ]. The albatross can reach the equilibrium position in aresomebalancepointsduringdynamicsoaringnomatter gradient wind under these limiting conditions. Similarly, the how parameters are chosen. In the contour line figures of equilibrium points for UAV demonstrator in dynamic soaring albatrossβ max π and Vπ§ max,itiseasytofindoutthatthemax- canbefoundinFigures8and9. imum value of Vπ§ albatross, lift coefficientπΆ ( πΏ albatross), airspeed (V), and bank angle (π) and the gradient of the wind field are 4. Conclusions required by the dynamic soaring balance points. By means of performances comparison between UAV demonstrator Dynamic soaring gives the albatross an ability to achieve and albatross, it is manageable to apply dynamic soaring in energy from the environment and prolong its flight endur- engineering practice. ance, which is a guide to consider using dynamic soaring as a Finally, in order to make dynamic soaring profit from propulsive energy source for small UAVs. The paper presents further research work as soon as possible, dynamic soaring an equilibrium position theory of dynamic soaring which experiments are necessary. Furthermore, an investigation is the forces balance during the flight. At the equilibrium with theory of balances for 6 DOF aircraft model would be position, the aircraft stays in a certain speed without kinetic helpful for instructing the dynamic soaring experiments. energy loss. When the flight direction is upward, the mechan- ical energy would increase, which can store energy for flight. Conflict of Interests In this paper, the wind relative reference frame of aircraft is noninertial, and the inertial force πΉ created by wind can The authors declare that there is no conflict of interests be used to do work for aircraft. In the noninertial frame, regarding the publication of this paper. 8 International Journal of Aerospace Engineering
Acknowledgment The authors gratefully acknowledge the financial support from the Fundamental Research Funds for the Central Universities (Project no. CDJZR14325501).
References
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