Mathematical Methods Applied to the Celestial Mechanics of Artificial Satellites 2013
View this Special IssueResearch Article  Open Access
Guang Zhai, Jingrui Zhang, Zhang Yao, "Circular Orbit Target Capture Using Space TetherNet System", Mathematical Problems in Engineering, vol. 2013, Article ID 601482, 11 pages, 2013. https://doi.org/10.1155/2013/601482
Circular Orbit Target Capture Using Space TetherNet System
Abstract
The space tethernet system for onorbit capture is proposed in this paper. In order to research the dynamic behaviors during system deployment, both free and nonfree deployment dynamics in circular orbit are developed; the system motion with respect to Local Vertical and Local Horizontal frame is also researched with analysis and simulation. The results show that in the case of free deployment, the capture net follows curve trajectories due to the relative orbit dynamic perturbation, and the initial deployment velocities are planned by state transformation equations for static and floating target captures; in the case of nonfree deployment, the system undergoes an altitude libration along the Local Vertical, and the analytical solutions that describe the attitude libration are obtained by using variable separation and integration. Finally, the dynamics of postdeployment system is also proved marginally stable if the critical initial conditions are satisfied.
1. Introduction
In the last two decades, space robotic systems for onorbit capture have received significant attention. Some of these space robotic systems are used for orbital debris capture and removal. Among the proposed robotic systems, the capture tools are usually designed with rigid facilities, such as robotic manipulators and latch structures [1–3]. Although the rigid capture tools have been successfully validated in some space robotic missions, the safety challenges still exist when they are used for noncooperative target capture [4–6]. In order to deal with noncooperative space target capture, the flexible tethernet system (TNS) is proposed in this paper. Compared with rigid capture robotic system, TNSs have more potential advantages including enhanced error tolerance, increased capturing range, and reliable safety. In ESA (Europe Space Agency), TNS has been proposed as the onorbit capture robotic system named “ROGER” [7–9], and this system will be used to capture and reorbit the nonfunctional geostationary satellites in the future.
Tremendous challenges ranging from dynamics to control are involved when TNS is used for onorbit capture, and one predominant challenge is to obtain an insight into the deployment dynamics of the system, which is critical to ensure accurate and safety captures [10–12]. Generally speaking, TNS can be deployed with connecting tether slack or tightened, and naturally the deployment dynamics, comprehensively governing the relative motion between the capture net and target, can be treated as a combination of relative dynamics and attitude dynamics. The relative dynamics, expediently presented by secondorder linear equations, describes the target motion with respect to Local Vertical Local Horizontal frame. The attitude dynamics mainly illustrates the inplan and outofplan librations during deployment and station keeping. Tethered satellite system (TSS) has attracted considerable attention in the past decades; numerous researches have researched the different aspects of TSS dynamics, especially motion analysis for deployment, station keeping, and retrieval. Typical TSS is comprised of two satellites connected with tether moving in central gravitational field. Kane made very basic dynamic research and analysis of TSS [13]. With mass less tether assumption, Yu et al. have studied the twodimensional dynamics of TSS [14]. Fujii and Ichiki studied the nonlinear dynamic behaviors of tethered subsatellite in the station keeping phase [15]. Takeichi et al. obtained the periodic solutions for TSS in an elliptical orbit [16]. Furthermore, many researchers have developed control strategies for TTS deployment and station keeping. Details of other achievements can be obtained from the cited references [17–23].
Other conceptual applications of tethered space system, such as orbital transportation and momentumexchange [24], have been researched recently. Rather than the ordinary TSS, this type of tethered system is generally librating or spinning with prescribed rotation in orbital frame, and the tools on the tether tip capture the payload only when it rendezvouses with target; therefore, series of papers have focused on the libration and spinning control problem in order to enable precise rendezvous and captures. Tethermediated orbital rendezvous was firstly mentioned by Carroll [25]; after that Stuart [26] designed a single tether system to perform the inplan capture. The predictive controller was developed for the libration regulation and damping. Blanksby and Trivailo [27] developed tether crawler system for the orbital transportation, and a corresponding controller based on length modulation was used. Williams developed nonlinear optimal controller and receding horizon controller for the elastic tether system. Besides circular orbit, Williams [10, 11, 20] also studied the capture of incooperative payload in elliptic orbits. Although series of control strategies have been proved effective, though numerical simulations, spinning tethered system is still far from practical employment. Actually all of the control strategies are developed with various simplifications, which means that when those controllers are used, spinning tethered system will be affected by the nonlinearity and coupling, timedelay, and environmental disturbance, and therefore it is extremely difficult for the controllers to precisely offer a position and velocity match between tether tip and target, which is even worse for the long tether system.
However, the TNS proposed in this paper is significantly different from the typical space tethers in the following aspects; firstly, the capturing net of TNS can be deployed with the connecting tether slack, while this is not allowed for typical space tethered system; secondly, the TNS is proposed to deploy rapidly in the orbit, which means that the marginal dynamics stability for typical space tethered can hardly be sustained in the case of TNS deployment; thirdly it is assumed that the tether length of TNS is several hundred meters, so the whole capture operation probably only takes several seconds and the longterm disturbance, for example, J2 gravitational perturbation and atmospheric drag force, can be almost neglected; finally, the dynamic parameters of TNS will be changed instantly after the target is captured. Due to the above reasons, it is necessary to establish the TNS deployment dynamics according to the system characteristics if successful captures are expected.
This paper will focus the research on the deployment dynamics of TNS system; the whole paper is organized as follows: in Sections 2 and 3, the free deployment dynamics is developed with respect to Local Vertical Local Horizontal frame; then the relative motion between the capture net and target is formulated with state transformation equations; deployment velocity planning method for static and floating target capture is also obtained based on state transformation equations. In Sections 4 and 5, the nonfree deployment dynamics is developed with Lagrange theorem; after that the inplan motion is decoupled from the outofplan motion, and the analytical solution for inplan libration is obtained with variable separation. At last the dynamics behaviors of postdeployment system are also studied.
2. Free Deployment Dynamics
Free deployment means connecting tether retains slack when capturing net is released towards the target. In this case, there is no external force acting on the capturing net other than gravitational force, and then the dynamic coupling between the capturing net and platform can be almost ignored. Now we consider that the space tether net system is in a circular orbit, and the target spacecraft is flying in a near circular orbit with small eccentricity; the platform, capturing net, and target are treated as a mass point, so we can assume that the target spacecraft is close enough to the tether net system when the capturing net is released.
As Figure 1 shows, two reference frames, Earth Inertial (EI) frame and Local Vertical Local Horizontal frame, are defined, respectively, for developing the deployment dynamics. The Earth Inertial frame is a nonrotating frame with its origin point located at the mass centre of the earth; its axis and axis are aligned with the equinox and spin axis of the earth, respectively. The Local Vertical Local Horizontal (LVLH) frame, also named orbital frame, is a rotating frame. Its origin point is located at the mass centre of the tether net system. The axis is aligned with vector from the Earth’s centre of mass to the spacecraft centre of mass, and axis is aligned with the orbital velocity vector of the tether net system.
Based on Newton’s law, the dynamics of mass point in the EI frame can be expressed as follows: where denotes position vectors of capturing net and target spacecraft with respect to the Earth Inertial frame, is the Earth gravitational coefficient with constant value, denotes perturbations such as sun pressure and earth oblateness, and represents control force acting on the centre of mass. Since the capture operation is performed within a shorttime interval, the longterm external perturbations can be ignored reasonably, and then both the system and target spacecraft can be considered moving in Keplerian orbits. The main goal of the free deployment dynamics is to interpret the relative motion between the capture net and target; therefore, based on (1), we can obtain the relative model by the following vector propagation:
In the above equation, denotes the position vectors of the target or capturing net in the orbital frame and the superscript denotes the relative acceleration and the position represented in EI frame. The relative dynamics is formulated by a secondorder nonlinear equation. However, (2) cannot be used in practice since the position vectors can not be acquired directly with the onboard relative sensors. Therefore, according to the vector transformation principle between rotating and inertial frame, the dynamic equations can be formulated with vectors expressed in LVLH frame alternatively, and then we have where is the orbital angular velocity of tether net system and the superscript denotes the vectors expressed in EI frame. Now define the vector and accordingly, when expressed in LVLH frame we have , , where is semimajor axis of tether net system, substituting and into (2), then expanding the right side of the formulation with Taylor series; through secondorder approximation, can be rewritten as follows:
Substitute (4) into (3), then we can get target or capture net motion equations in LVLH frame by using (3); the relative acceleration between the capturing net and target expressed in LVLH frame can be represented as follows: where represents the relative vector between capturing net and target, and superscript denotes the vector described in LVLH frame. Furthermore, substituting (4) into (5), finally (5) can be simplified as follows:
Equation (6) is a secondorder linear equation, where is the coefficient matrix depending onorbital angular velocity, and denotes the skew matrix of orbital angular velocity, and this equation mathematically illustrates the relative motion between the capturing net and target after the system deployment.
3. Free Deployment Simulation and Analysis
3.1. Free Deployment Planning
The relative motion of capturing net after deployment is described with (6). Obviously the capturing net and target should locate at the same position on specific time if successful capture is expected, which means after the specific time interval. Since most targets are floating unpredictably in orbital frame due to external perturbations, when tracking the target, synchronous regulation of deployment velocity is required consequently to ensure precise captures. Based on (6), the analytical solution of deployment dynamics can be rewritten with state transformation equations as follows:
Here, for short, we use to denote , and denote the deployment time and capture time, obviously can be acquired with the relative sensors fixed on TNS, is input matrix with constant element, is thruster force acting on the target during the deployment, the time expenditure, , describes the time interval from the deployment beginning to the end, and it can be preset approximately according to deployment velocity and initial relative distance, is submatrix of state transformation matrix, and when the target is captured, by defining , then substituting these nomenclature into (7), and then the submatrix can be expressed, respectively, as follows:
Now supposing no relative maneuver was performed when the capturing net is approaching to the target, which is , then substituting the submatrix into (7), the vectors and can be calculated as follows when the transformation matrix is nonsingular:
Equation (9) implies that if the time expenditure is given, both the initial and the final relative velocities are determined by the initial relative position; moreover, after is obtained, we can get the deployment velocity of the capture net as follows: where is the initial deployment velocity, which is necessary for precise capture and is the target initial velocity relative to the LVLH frame, and it can be acquired by the relative sensors on the platform.
3.2. Free Deployment Simulations
Series of capture simulations have been carried out to demonstrate the interrelationship among the deployment velocities, time expenditure, and initial states of target. Typically the targets have been classified into two groups: the first group consists of static targets located at Vbar of LVLH frame, while the second group consists of free floating targets. All the captures take place in the circular orbit of 600?km high altitude, and the capture simulations are completed with the connecting tether slacked. All the initial deployment velocities can be obtained by using (9) and (10).
As shown in Table 1, the static target captures are simulated with time expenditures of 20 and 40 seconds, respectively, and corresponding targets locate in Vbar with zero initial velocity but different relative distances ranging from 100?m to 300?m; it should be noted that in the case the targets experience selfstation keeping with respect to the original point of the orbital frame, which can be proved with (9). The same with static target captures, the floating target captures are also simulated with 20 and 40 seconds time expenditures, whereas their initial position is supposed on Rbar and Vbar with nonzero initial velocities. From the results we can see that for the static target captures, the components of release velocity are increased with the rising of capture distance, while the component velocities remain zero. For the floating target captures, an components velocity equivalent to its initial component is needed for precise captures, which implies the fact that the directional motion is decoupled form the and directional motions.

Figure 2 describes the motion trajectories of the capture net and floating targets in orbital frame; for the static target capture, the curvilinear trajectory is restricted in the orbital plan, while for the floating target capture, the curvilinear trajectory undergoes synchronous oscillation out of orbital plan.
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4. Nonfree Deployment Dynamics
4.1. Reference Frames
A distinct characteristic of nonfree deployment is that the connecting tether keeps tightened when the capture net is deployed; the drag force acting on the capturing net differentiates its capture dynamics significantly from the FreeDeployment ones, and therefore the dynamics we developed in Section 2 can not be used here. The purpose of this section is to establish the nonfree deployment dynamics with a consideration of length alteration during the system deployment, and the inplan and outofplan liberations, which significantly impact the motions of capturing net relative to the targets, will be researched based on the dynamics model.
In general, the dynamics of tether net system is very complicated due to its flexibility and external perturbations. In order to simplify the researches, the only external force acting on the tether system is the Newtonian gravity force of the Earth. Other external perturbations, such as Sun pressure, aerodynamic drag force, and gravity from the sun and other planets, are considered negligible. Moreover, the system is assumed to be moving in a circular orbit, and the target also locates in the coplanar orbit. Both the capture net and the target are treated as particles of masses.
The reference frames used to develop the system dynamics are Earth Inertial frame (EI), Local Vertical Local Horizontal Frame(LVLH), and BodyFixed frame(BF). The EI frame and LVLH are defined as in Section 2. All the reference frames can be demonstrated in Figure 3. The BF frame, whose elements are principal axes of inertia, can be defined as follows: the basic vector is directed from the platform to the capture net, and the second basic vector is obtained as follows:
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(b)
Then the final basic vector can be achieved with righthand principle. The original point of the BF frame is fixed on the mass centre of the system. The definition of BF frame can be illustrated as in Figure 3. As described in Figure 3, and represent the inplan and outofplane libration angular, respectively.
4.2. System Energy Function
Lagrange principles enable us to derive the dynamics of the system mathematically. However, kinetic and potential energy of the tethernet system must be obtained before the use of Lagrange principle. The proposed tether net system involves two types of energy components: kinetic energy and potential energy. When the capture net is released in the orbit, the system total kinetic energy can be calculated through scalar summation of three terms as follows:
where and represent the kinetic energy terms due to orbital velocity and deployment rate, respectively, while represents the term associated with the system altitude motions relative to EI frame. All kinetic energy terms can be calculated as follows, respectively:
In the above equations, is total mass of the system, while and are the mass of capture net and platform and and denote the semimajor axis and true anomaly of the orbit, for the circular orbit remains constant value. and denote the total length and the deployed length of the tether, represents the line density of the tether and and denote the vector of endpoint with respect to original point of LVLH frame.
In general, the potential energy in gravitational field is defined as follows:
Obviously the total potential energies are associated with total mass of the system. Therefore, with particle mass assumptions, the total potential energies can be calculated separately: where and are the components associated with mass of particles, while is the elastic potential energy due to the tether deformation. According to the potential energies definition, we have
Here denotes the vector mold. According to the relationship of vectors in Figure 2, we have
By using Taylor expansion and ignoring the highorder terms of (17), the formulation of the vector mold can be simplified as
Furthermore, substituting (18) and (19) into (16), the potential energy associated with the particle mass can be obtained as follows:
With Taylor expansion and highorder terms neglected, the potential energy term induced by connecting tether can also be obtained with the following format:
Otherwise, when the connecting tether is treated as spring with nonviscous assumption, the elastic potential energy will be involved as where is the elastic ratio, is the crosssectional area, is the length of deployed tether without deformation, and is the strain coefficient.
4.3. Equations of Motion
Through the definition of the Lagrange principle, we can get where denotes Lagrange function. By substituting the kinetic and potential energies into (23), we have
By ignoring the tether mass and elastic potential energy term, the motion equations of the system can be derived with Lagrange formulation: where is the generalized coordinate and is the generalized force according to the generalized coordinate. Substituting (24) into (25), then, respectively, defining the generalized force , eventually we can get the governing nonlinear, coupled ordinary differential equations of motion as follows:
In the above equations, we have since the tether is tightened all the time, and is constant in any circular orbit.
4.4. InPlan and OutofPlan Dynamic Decoupling
Equations (26)–(28) indicate that both inplan and outofplan motions are coupled with the tether deployment, which means that when released towards the target, the initial velocity vectors will be changed gradually under the attitude perturbation; thus the shape of tethernet system will present a libration, and the capture net will follow a curve trajectory when approaching to the target.
Now let , , that is, no external torques acting on the system, and then transform (27) as
Assuming the system works with zero initial condition while the deployment rate is nonzero, then the right side of (29) can be treated as a combination of two coupling torques, which associated with outofplan motion and tether deployment, respectively, acting along inplan direction; naturally the coupling torques generate inplan motion even if the initial state is zero.
However, for (28), there are no coupling torques associated with inplan libration or tether deployment rate on the right side, so the system will remain stationary along the outofplan direction:
Based on the above analysis, the inplan dynamics can be decoupled from the outofplan dynamics and then the inplan deployment dynamics can be described as
5. Nonfree Deployment and Postdeployment Simulations
5.1. InPlan Deployment Motions
Now consider an inplan deployment taking place in circular orbit; then the deployment motion can be researched based on (31). Supposing that the deployment rate is remained constant, then according to (31), the generalized force acting on the connecting tether can be calculated as follows: where denotes the constant deployment rate and denotes orbit angular velocity, and it can be achieved by
In order to research the inplan motions during the deployment, series of numerical simulations were carried out with different initial deployment rate. The inplan motions, including the libration amplitude and velocities, are demonstrated in Figure 4; Figure 5 shows the shape of tether net system when deployed with initial velocities of 10?m/s and 8?m/s, Figure 6 illustrates the control force acted on tether when deployed with different initial velocities. From the results we can see that the inplan angle will gradually increase with time elapse. In general, the capture operation could be accomplished within 20 seconds, so throughout the whole deployment, the inplan angle amplitude will remain less than 1.5°, and the amplitude of inplan angular velocities will increase rapidly after the capture net is released, but it will be kept on a relative stable level after 5 seconds.
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Substituting (33) into (31), the inplan libration dynamic can be expressed as
In the above equation, (for example, when the space tether net system works in a circular orbit of 600?km altitude high, ?rad/s) and (according to simulation result in Figure 4), and then the term can be ignored and and the inplan libration dynamics can be simplified as follows:
Then by using variable separation, (35) can be rewritten as
Integrating both sides of (36), then we can get the analytic solution of inplan motion as follows:
These analytical results based on (37) and also agree with the interpretations of simulation results in Figures (4) and (5) showing the system configurations during the deployment. Figure (6) shows the tension force acting on the capture net during the constant velocity deployment. From the figure we can see obviously that tension force is less than zero all the time, which means that the connecting tether is tightened for the whole deployment.
5.2. Motion for Postdeployment System
After the capture is completed, the length of connecting tether will not be changed with respect to time; therefore, with the deployment rate which is equal to zero, the dynamics of the postdeployment system can be rewritten as
Then transform the dynamics formula as
By using Jacobi Integrator, we have where is the energy constant associated with initial state; it can be calculated as follows:
The Poincáre map in Figure 7 was used to research the stability of secondorder dynamic system. Here the Poincáre map consisting of discrete plots has been obtained with different initial conditions; it is easy to understand the inplan motions over long periods of time. As the map shows, there are four equilibrium points for the postdeployment system, including , , , , but only are marginal stable equilibrium points, while , are unstable ones. That is when the states of the postdeployment system are in the range of the closed curves, the system will undergo a periodic librations with respect to the local vertical; however, when the system states is out of the closed curves, the system will experience longterm inplan tumbling after capture. Furthermore, based on (41), the max periodic libration can be calculated by supposing , and then we have
Obviously the following constraint must hold if the max libration exists:
Assuming the initial libration angular is zero, then the max initial angular velocity permitted for periodical librations can be calculated as
That is in the case the initial libration angular is zero, the postcapture system will experience periodical librations if the condition holds, while the system will tumble if is out of this range. In order to express the inplan libration motion with respect to time, rewrite (39) by using variable separation, and then we have
Equation (46) is the timedependent formula to describe the inplan libration of postcapture tethernet system, where is constant parameter and can be obtained as follows:
is a parameter depending on initial conditions, and it can be calculated as
The postdeployment dynamics developed in this section has been numerically simulated to compute the inplan motions and drag force of connecting tether with different initial conditions. In the simulations the tether length of postdeployment system is assumed to be 200?m and the total mass of target satellite and capturing net is assumed to be 500?kg. Moreover, different is selected to illustrate the impact of on the system dynamics. Without losing generalization, the parameter is computed with different values 0.33, 1.0, and 1.33. Figure 8 shows numerical results of the simulations; from the result we can see obviously when , the postdeployment system undergoes periodical librations relative to the Local Vertical, and in this case, the drag force on the connecting tether is always negative, which means that the postdeployment system is tightened for the whole libration. However, when , the periodical libration amplitude is increased to relative the Local Vertical, and positive drag force occurs during the periodical libration, means in this case that the connecting tether will become slack when . Finally when , the postdeployment system will tumble and the drag force will periodicaly be positive and slack. Naturally we can draw a conclusion that the constraint of must hold when the postdeployment system is expected to be tightened and under control; otherwise the post capture system will become slack during the inplan motion.
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6. Conclusions
A space tethernet system is proposed for onorbit capture in this paper. In order to research the deployment dynamics behaviors of the system, both free and nonfree deployment dynamics in circular orbit are developed by using Lagrange principles. Under the disturbance of gravitational force, the capture net will follow curve trajectories for free deployment, and the initial deployment velocities should be planned if precise capture is expected. For nonfree deployment, the system will experience inplan libration depending on the deployment rate, and the inplan libration can be described with analytic solution with respect to time. Furthermore, the motion of postdeployment system is also proved marginally stable if the parameter ; otherwise the postdeployment system will tumble relative to Local Vertical and become slack during the inplan libration.
Conflict of Interests
The coauthors and I do not have any direct financial relation with the trademarks mentioned in this paper; it does not lead to a conflict of interests with the coauthors and I.
Acknowledgment
This work was supported by the National Natural Science Foundation of China (Grant no. 11102018).
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Copyright © 2013 Guang Zhai 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.