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Yuan Liu, Yong Hao, Weiwei Liu, "Loosely FormationDisplaced Geostationary Orbit Optimization with Complex Hybrid Sail Propulsion", Complexity, vol. 2018, Article ID 3576187, 9 pages, 2018. https://doi.org/10.1155/2018/3576187
Loosely FormationDisplaced Geostationary Orbit Optimization with Complex Hybrid Sail Propulsion
Abstract
To explore the performance of hybrid sail and overcome the congestion of geostationary orbit, this work proposes a method intended to optimize the trajectories of the spacecraft formation and extend the concept of displaced geostationary orbit by loosening the relative distance and introducing a stationkeeping box. The multispacecraft formation is a typical complex system with nonlinear dynamics, and the hybrid propulsion system introduces additional complexity. To solve this problem, suboptimal trajectories with constant relative distance constraints are first found with inverse methods, which were referred to as ideal displaced geostationary orbits. Then, the suboptimal trajectories are used as a first guess for a direct optimization algorithm based on Gauss pseudospectral algorithm, which loosens the relative distance constraints and allows the spacecraft to be placed anywhere inside the stationkeeping box. The optimization results show that the loosely formation and stationkeeping box can create more flexible trajectories and achieve higher efficiency of the hybrid sail propulsion system, which can save about 40% propellant consumption.
1. Introduction
The geostationary orbit (GEO) is a circular, equatorial orbit whose period equals the Earth’s rotational period, enabling the use of applications, such as telecommunications and geoscience monitoring. The GEO allows a satellite to be stationary above a certain point on the Earth’s equator. For this reason, it is a unique and currently congested orbit, especially at longitudes above densely populated areas [1]. To ease the congestion of the GEO slot, the concept of replacing the GEO with a nonKeplerian orbit (NKO) has been proposed [2].
The NKOs are spacecraft trajectories which can be achieved by a continuous control acceleration, and McKay et al. gave comprehensive introduction about NKOs in a survey [3]. However, continuous propulsion is necessary for NKO maintenance, and it can be provided either by a solar electric propulsion (SEP) thruster [4] or by a hybrid of SEP and solar sailing [5].
Solar sailing demands many hightechnology requirements on materials, control, and structures [6]. Recently, several solar sail demonstrator missions have been achieved with Japan Aerospace Exploration Agency (JAXA), the Interplanetary KiteCraft Accelerated by Radiation of the Sun (IKAROS), National Aeronautics and Space Administration (NASA), NanoSailD2, and the Planetary Society, LightSail 1 [7–9]. For NKOs, there have been some solid conclusions that adding the propulsionsaving propellant such as solar sails is helpful to reduce the propellant consumption, which ensures a longer mission lifetime [5].
Previous works proposed that there be possibility of combining a relatively small sail and SEP, which will be more feasible than equipping a big sail for a nearterm spacecraft [5, 10–12]. Guided by this concept, several researches have been done to enhance the overall performance of the hybrid propulsion system, especially to minimize the longterm propellant consumption for Earth polesitter [5] and other planets’ polesitter [13], transferring from Earth to other planets [14, 15] and from north/south to south/north polesitter orbits [11]. According to those studies, the hybrid sail is an effective solution for the longterm NKO maintenance, which has better performance on propellant consumption than pure SEP and less complexity than a large sail.
The displaced GEO through solar radiation pressure was first shown to be feasible by Baig and McInnes [16]. After that, Heiligers et al. [1, 2] have demonstrated that the hybrid saildisplaced GEO is more feasible with strict position constraints. Then, Arnot et al. proposed that new families of relative orbits for spacecraft formation flight will be generated by applying continuous thrust with minimal intervention in the dynamics of the problem [17].
However, we believe that loosening the formation relative distance constraints is helpful to release the potential of hybrid sail. In this paper, we extend the previous works by keeping several spacecrafts in an assigned stationkeeping box with loosely formation. The concept of a stationkeeping box is found to have the drawback that the spacecraft does not always have constant relative position with respect to an Earth observer; it is not truly “geostationary”. Yet, if the stationkeeping box is small enough, the negative effects of pointing problems can be restricted to an acceptable level so that this displacement will not be perceivable from the Earth.
The structure of this paper is organized as the following. In Section 2, the system dynamics and the satellite formation model are described. In Section 3, mission profiles for spacecraft strict formation on displaced GEOs are presented and an inverse method to minimize the SEP thrust and obtain the corresponding solar sail control is introduced. In Section 4, the optimization method used to discover the trajectories of loosely formation spacecraft in a stationkeeping box to minimize the propellant mass is described.
2. Equations of Motion
The displaced GEO is an NKO whose period equals that of the Earth’s rotation [1]. Compared with the distance from the Sun, a spacecraft in a displaced GEO is much closer to the Earth. Therefore, the dynamics are defined as twobody, Earthcentered dynamics, neglecting perturbations from the higher order harmonics and from the Earth’s potential, the Moon, Sun, and so on. Figure 1 shows a rotating reference frame , which is centered at the Earth center, with the axis pointing towards the slot of an ideal GEO and the axis aligning with the angular momentum vector of the Earth and perpendicular to the equatorial plane. Then, the axis completes the righthanded Cartesian reference frame.
The basic idea of displaced GEO spacecraft is that its relative movement with an Earth surface observer can be neglected and its period exactly equals that of the ideal GEO. The equations that describe the dynamics of the spacecraft in the frame (A) are
The spacecraft position vector is , , is the Earth’s constant angular velocity, and is the gravitational parameter of the Earth. For a hybrid sail propulsion system, the thrustinduced acceleration can be written as where is the acceleration of the SEP thruster and is the acceleration of the solar sail. in which is the SEP thrust vector, , and is the spacecraft mass. Because of the consumption of SEP propellant, can be profiled as the following: in which is the specific impulse (we adopt the value of , which can be obtained with current engine technology [12]) and is the standard Earth surface gravity acceleration.
Furthermore, in this paper, a perfect solar sail force model is used to account for specular reflection, where is the gravitational parameter of the Sun, is the vector normal to the sail surface, is the initial mass at time , is the Sunsail vector, and is the unit vector along . In our work, is approximated by a constant SunEarth distance of one astronomical unit (AU). The parameter indicates the lightness number, the value of is plausible for a nearterm mission, and a value of for a longterm mission [18]. The unit vectors and can be expressed in the easiest way in an auxiliary frame (see Figure 2). The axis coincides with the Sunsail vector (neglecting the tiny variation in the direction of the Sunsail vector over one orbit, assuming it to be aligned with the SunEarth vector), the axis is perpendicular to the axis and lies in the plane spanning the Sunsail vector and the Earth’s rotation axis, and the axis completes the righthanded reference frame. Using the pitch angle and yaw angle as given in Figure 2, can be expressed as
Because should always point away from the Sun, in the frame (B), the following attitude constraints apply:
Using to describe the angle between and the equatorial plane, which reaches its maximum value (equals the Earth’s obliquity to the ecliptic, ) at winter solstice and reaches its minimum value at summer solstice, can be expressed as
The evolution of the displaced spacecraft state can be expressed in the differential form:
We assume that there is one leader and followers in each formation. In this paper, we consider a test case of a formation with one leader and two followers, and the details are defined and shown in Table 1.

3. Strict FormationDisplaced Geostationary Orbits
This section deals with the strict formationdisplaced GEO analyses by assuming that the problem is approximated as a formation with each spacecraft in a constant flat nonKepleriandisplaced GEO. The assumption that trajectories and the corresponding controls are used as the first guess for the optimization algorithm will be presented in Section 4.
3.1. Approach
For a strict spacecraft formation, the relative positions between each two agents are always constant (see Figure 3). If one formation is placed on an ideal displaced GEO (which keeps still for the observers on Earth), each spacecraft will be a fixed point in the frame (A). is the position of the leader, meanwhile, is the relative position of th follower spacecraft with the leader, and . Once the trajectory of every spacecraft is known, the inverse method can be used to find uniquely required accelerations from (8).
For a hybrid propulsion system (both pure SEP, , and pure sail, , are special cases), the optimal controls of spacecraft require that the SEP consumes as little propellant as possible, which can be achieved by the following steps: (1)Divide one day (Earth’s rotation period) into several equal instants.(2)Use MATLAB’s genetic algorithm toolbox to find the optimal control of solar sail (including the pitch angle and yaw angle ) and to minimize the at each instant.(3)Assume that the remains constant between two adjacent instants and update the according to the integration of (4).(4)Repeat steps 1 to 3 until the orbit is complete at the time , where equals one Earth’s rotation period.
3.2. Results
In the test, the spacecraft’s positions are defined as , , , where . In the pure SEP case, the SEP provides the whole acceleration for orbital maintenance. In a relative short period like one day, ignoring the impact of orbit perturbation, the accelerations provided by SEP are constant, which lies at a separation of 6.375 × 10^{−4} m/s^{2} for leader and 6.381 × 10^{−4} m/s^{2} for both followers 1 and 2. As to the hybrid sail case, because the SunEarth direction changes with the period of one year, the accelerations of SEP and solar sail are no longer constant and show symmetrical characteristic on different days with different SunEarth directions (see Figures 4 and 5). Obviously, with the help of the solar sail, the SEP provided less acceleration than the pure SEP case at most of the time. This means that a part of propellant is saved, and the spacecraft formation will be maintained for a longer time.
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Figure 6 shows the mass of the simulation result. To make the comparison clear, we assume that the spacecraft’s parameters are as described in Table 1. In the pure SEP case, the mass of the spacecraft decreased at a constant rate. After oneday formation maintenance, the leader’s mass drops from 1000 kg to 998.252 kg, the follower 1’s mass drops from 900 kg to 898.425 kg, and the follower 2’s mass drops from 800 kg to 798.600 kg. For the hybrid sail case, compared with the pure SEP case, significant mass saving is achieved, which proves the effectiveness of hybrid sail on the propellant saving. In the next section, we try to get more mass saving by introducing a stationkeeping box and loosening the relative distance constraints between each two spacecrafts.
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4. Optimal Loosely FormationDisplaced Geostationary Orbits
For a loosely spacecraft formation, the relative distances between any two agents are variable and are limited to a minimum value of (to avoid collision ) and to a maximum value of . The value of is defined as the loosely distance. In addition, to ensure the loosely formation to be nearly geostationary (not truly geostationary) for an Earth observer, the concept of a stationkeeping box placed around a real GEO is introduced and all the spacecrafts are required to be in the stationkeeping box all the time (see Figure 7). For a loosely spacecraft formation, with loosely relative distance and the stationkeeping box, it is possible for the spacecraft to enable propellant optimal trajectories to save more mass. However, because the trajectories of spacecraft are functions of time and the expression of them is unknown, the optimal trajectories cannot be simply obtained with the inverse method. Hence, a method is used to find both optimal trajectories and controls, which minimizes the whole formation’s propellant usage and allows the formation to be kept in a displaced GEO.
4.1. Approach
The problem is to find optimal periodic orbits with minimum propellant consumption. Therefore, the cost function can be simply defined as that is, to maximize the whole final mass of all spacecrafts after one period (for displaced GOE equals one day). In the frame (A), the leader spacecraft’s dynamics can be described as (1), the followers’ relative dynamics (with the leader) can be written as
When the spacecrafts in it are close to each other, the formation is . Therefore, (9) can be simplified as
By introducing the follower’s relative state vector the state of the formation can be written as .
The center of the stationkeeping box is located at an ideal displaced GEO, which is a fixed point in the frame (A). Its position is defined as , where the constants , and are position correction values and the is the GEO orbit radius. To allow the spacecraft to move freely within the box, the stationkeeping box is defined as , where , , and are relaxing parameters.
The problem is solved with a numerical direct pseudospectral method implemented in the software tool PSOPT [19], which makes use of the automatic differentiation by overloading in C++ (ADOLC) library for the automatic differentiation of the objective, dynamics, constraint functions and the initial guess for the problem. We use the optimal trajectories and controls of strict formationdisplaced GEO (results of Section 3) as the suboptimal initial guess for PSOPT, which allows the Gausspseudospectral algorithm to converge quickly and smoothly.
4.2. Results
In the test, the spacecraft’s parameters are listed in Table 1 and the stationkeeping box is defined in Table 2. According to Table 2, , , and the loosely degree is 9 km. The efficiency of solar sail is greatly affected by the sunlight direction which is the same as that of the Sun sail. Ignoring the minor differences between Sunsail vector and the SunEarth vector in the simulation, we use the SunEarth vector rather than the Sunsail vector to describe the sunlight direction. Considering the universal situations, we select the SunEarth vectors of winter solstice, spring equinox, summer solstice, and autumn equinox as the typical values. Unlike the strict formation, with the optimal trajectories of one orbital period (one day, see Figure 8), the relative distances between each two agents are not constant, which is always larger than and smaller than . Furthermore, the trajectories of the leader, follower 1, and follower 2 in a day are shown in Figure 9. It is obvious that the positions of all spacecrafts are restricted in the stationkeeping box at any time. Because of the symmetry characteristic of the Sunsail direction (see Figure 9), the shapes of spacecraft trajectories at winter solstice and summer solstice are symmetric (the same as the shapes at spring equinox and autumn equinox).

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The mass consumption of each spacecraft is listed in Table 3, and the overall mass consumption (according to (9)) is listed in Table 4. With the stationkeeping box and loosely formation, the mass consumption is greatly reduced both in the whole formation and each spacecraft. In the whole formation, the 2.805 kg, 3.022 kg, 2.808 kg, and 3.021 kg propellants are needed to maintain the strict formation at the ideal displaced GEOs for the winter solstice, spring equinox, summer solstice, and autumn equinox, respectively. By loosening the relative distance constraints and applying the stationkeeping box, propellant mass is saved corresponding to the four seasons, 39.89% for winter solstice, 42.19% for spring equinox, 41.67% for summer solstice, and 42.04% for autumn equinox.


5. Conclusions
In this paper, with a hybrid (solar sail and solar electric propulsion, SEP) propulsion system, by inviting two concepts, the loosely relative distance constraints and the stationkeeping box, a method to find the optimal trajectories of spacecraft formation for displaced geostationary orbits (GEOs) is introduced, which can be used as a solution to the congestion of the GEO. The hybrid sail spacecraft will consume less propellant to maintain the formation. For a 10 × 10 × 10 km^{3} stationkeeping box, which centers 40 km outside a real GEO and a 9 km loosely degree, propellant consumption saved 39.89%, 42.19%, 41.67%, and 42.04% for the winter solstice, spring equinox, summer solstice, and autumn equinox, respectively. The obvious mass saving shows that the stationkeeping box and loosely relative distance constraints can improve the efficiency of the hybrid propellant system more efficiently than the ideal displaced GEO and strict relative distance formation. Besides, the optimization trajectories show that the stationkeeping box can successfully restrict all the spacecrafts of the formation inside it. Furthermore, their relative distance is always larger than the lower boundary and smaller than the upper boundary.
Data Availability
All data in this manuscript are available for noncommercial applications upon request.
Conflicts of Interest
The authors declare that they have no conflicts of interest.
Acknowledgments
This research was jointly funded by China Natural Science Foundation (no. 61633008); Nature Science Foundation of Heilongjiang Province of China (no. F2017005); Fundamental Research Funds for the Central Universities, China (nos. HEUCFP201768 and HEUCFP201770); National Natural Science Fund (no. 11772185); Harbin Science and Technology Innovation Talent Youth Fund (no. 2015RQQXJ003); and Postdoctoral ScienceResearch Foundation (no. LBHQ13042).
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Copyright
Copyright © 2018 Yuan Liu 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.