Abstract
The objective of the present study is to derive a dominant equation of our previously proposed two-dimensional-deployable linked panel structure in space, which expresses the relationship between the deployment motion and input moment by an actuator. This article presents a derivation sequence of the dominant equation by the general dynamic modeling of square panels and demonstrates its numerical calculation examples. This numerical experimentation may be useful for designing an actuator considering deployment time in space, especially for realization of a future Solar Power Satellite which consists of square solar panels.
Keywords
Introduction
This article presents a derivation sequence of a dominant equation of our previously proposed two-dimensional (2D)-deployable “linked panel unit” in space,1,2 which can be folded and deployed as shown in Figure 1 and extended two-dimensionally as shown in Figure 2. The objective of the present study is to derive the dominant equation expressing the relationship between the deployment motion and input moment by an actuator, and to show its numerical calculation examples for study of deployable structures3,4 and adaptive structures,5–7 especially for realization of a future Solar Power Satellite (SPS) consisting of square solar panels. The SPS was proposed by Dr Peter Glaser 8 in 1968 as a concept to construct huge solar cell panels in space and transmit electric energy to the earth as a solution to the energy problem. Around 1980, its feasibility was investigated in the United States and Japan9,10 as an efficient all day-and-night power generator without influences of weather and climate. In the present study, the problem is how to estimate the input moment required for the deployment of the “linked panel unit” in space in consideration of the deployment time. To address this problem, the present study reveals a dynamic modeling method11–14 of the square panels and demonstrates the numerical calculation of the dominant equation derived by the modeling. This numerical experimentation may be useful when we design an actuator in future. The derived dominant equation can also be used for studies of damping control and deceleration control of an actuator so as not to cause structural vibration on post-deployment.15,16

2D-deployable “linked panel unit,” 1 consisting of square panels: (a) folded, (b) transition, and (c) deployed.

2D-extended “linked panel units” 2 : (a) folded. (b) transition, and (c) deployed.
This kind of investigation was originally started with a scissor structure consisting of one-dimensional (1D) bars. 17 Therefore, the present dynamic modeling of the 2D panels of the “linked panel unit” shown in the next section may be seen as an expansion from the 1D bars of the scissors system. As a numerical calculation example of the dominant equation derived by the modeling, section “Numerical calculation examples” examines some cases of positions and magnitude of the input moments.
Derivation sequence of dominant equation of “linked panel unit” in space
Figure 3 illustrates the composition of the “linked panel unit” shown in Figure 1 with node designations and 2D array of the square panels in a global coordinate system. Panels (0, 0) and (1, 1) are designated as square ABCD, and panels (0, 1) and (1, 0) are designated as square DABC, which means that the square ABCD is rotated counterclockwise at 90°. In Figure 3, the nodes indicated by arrows, such as nodes A of panels (0, 1) and (1, 1), are linked by a rotational axis perpendicular to the surface of the panel.

Composition of “linked panel unit” shown in Figure 1: node designations, 2D array of square panels, and global coordinate system. Linked nodes are indicated by arrows.
Figure 4 shows transformation processes of the “linked panel unit” shown in Figures 1 and 3 with self-balancing moments


Parameters for each panel (i, j) (i, j = 0, 1) assumed to be composed of a surface, frame, and brace: ρS, surface density; ρF and ρB, line density; L, a half side-length of square;
Figure 6 shows a general dynamic modeling of each panel (i, j) (i, j = 0, 1) shown in Figure 4, where each rotational motion is described by the rotational variable

General dynamic modeling of each panel (i, j) (i, j = 0, 1) shown in Figure 4: Rotational motion of (a) panel (0, 1) and (1, 0) and (b) panel (0, 0) and (1, 1). θ, rotational variable in the local coordinate system;
Based on this dynamic modeling, the dominant equation of the “linked panel unit” in space is derived by the following four steps.
Position vectors
In reference to Figures 3–6, position vectors of all nodes A to D of each panel (i, j) in the global coordinate system are expressed as equations (1)–(4), using the rotational variable
where
Equations of motions
In reference to Figures 4–6, equations of motion of panel (i, j) in X- and Y-direction in the global coordinate system are expressed as equations (5) and (6), and equation of its rotational motion in the local coordinate system is expressed as equation (7), respectively
where
where
In this study, the frictional moment is expressed as equation (18) using a coefficient of rotational friction μ (N m s/rad) multiplied by relative angular velocity between the linked panels
On the right-hand sides of equations (5) and (6), m is mass of the panel shown in Figure 5 as expressed in equation (8), which is multiplied by the acceleration of motion of the center of panel inertia,
(Surface)
(Frame)
(Brace)
On the left-hand sides of equations (5) and (6), the first four terms are the internal forces F acting on nodes A to D of panel (i, j) in X- and Y-direction as shown in Figure 6. The first four terms Fr on the left-hand side of equation (7) are the moment components of the internal forces F around the center of panel’s inertia, as expressed in equations (10)–(13). The other terms on the left-hand sides of equations (5)–(7) are the effects of the input moments

Conversion of input moments and frictional moments acting on the corners of the panels: (1) substitute forces and (2) substitute moments acting on the center of panel inertia. (a) panel (0, 1) and (1, 0) and (b) panel (0, 0) and (1, 1).

(a) = (b) + (c): Acceleration of motion by (a) moment at a corner is divided into that by (b) force in a diagonal direction, and (c) moment around the center of panel inertia.
In the present method, acceleration of motion by a moment at a corner of the panel is divided into acceleration by a force in a diagonal direction and that by a moment around the center of the panel’s inertia, as shown in Figure 8. In reference to Figures 5 and 8(a), the equation of rotational motion by a moment
where
(Surface)
(Frame)
(Brace)
From equation (22), angular acceleration of rotational angle φ by the moment
In reference to Figures 5 and 8(b), equation of motion by the substitute force
where
(Surface)
(Frame)
(Brace)
On the other hand, in reference to Figures 5 and 8(c), equation of rotational motion by the substitute moment
where
(Surface)
(Frame)
(Brace)
In the same way as equations (27) and (31), equations (14)–(17) with Figure 7 are obtained as the conversion of all input moments and frictional moments acting on nodes A to D of any panel (i, j).
Relations between variables
In order to reduce many variables in equations (5)–(18) and to derive a single dominant equation, this step links the variables, based on the principle of action reaction and symmetricity of the analysis model.
Beforehand, we assign zero to the forces and moments on unconnected nodes as follows, in reference to Figures 3, 4, and 6
On the other hand, the forces and moments acting on the linked nodes are expressed as follows, based on the principle of action and reaction
Here, we take into account the symmetricity of the forces and moments with respect to X-axis as follows, in reference to Figures 3, 4, and 6
We also take into account the symmetricity of the geometry of the analysis model with respect to X- and Y-axis as follows, using the X- and Y-components of position vectors of the center of panel (1, 0),
Under the X- and Y-axis symmetricity, node C(1,0) moves on the Y-axis in the global coordinate system as shown in Figure 4. Therefore, we can express
In the same way, node B(1,0) moves on the X-axis under the X- and Y-axis symmetricity. Therefore, we can express
From equations (47) and (48), the second derivatives of
Relational equation between input moment and rotational variable
Using the above equations (35)–(46), equations (5)–(7) with equations (8)–(18) are expressed as follows, using a formula manipulation system such as the Mathematica 18 of Maple 19
From equations (50) and (51), we can derive the following equation
In the same way, we can obtain the following equation from equations (52) and (53)
Using equations (50)–(53), the following equation is derived
We can also derive the following equation from equations (54) and (55)
From equations (57) and (58) with equations (49) and (60)–(63), we finally obtain the single dominant equation as follows, which expresses the relationship between the input moments
where
Numerical calculation examples
This section presents numerical calculation examples of the dominant equation derived as in equation (64), using three cases of positions of the input moments as shown in Figure 9. In order to calculate the dominant equation numerically, we arrange the following equations for iterative calculation during the deployment and fold
where
where

Three cases of positions of input moments for deployment and fold.
In order to compare the three cases shown in Figure 9 under the same benchmark, the present study assumes the total amount of input moments
Case 1
Case 2
Case 3
Figures 10–12 show the numerical calculation result of time change of the acceleration, velocity, and angle of

(Cases 1, Deploy) Calculation result: (a) acceleration, (b) velocity, and (c) angle.

(Case 2, Deploy) Calculation result: (a) acceleration, (b) velocity, and (c) angle.

(Case 3, Deploy) Calculation result: (a) acceleration, (b) velocity, and (c) angle.

(Cases 1, Fold) Calculation result: (a) acceleration, (b) velocity, and (c) angle.

(Case 2, Fold) Calculation result: (a) acceleration, (b) velocity, and (c) angle.

(Case 3, Fold) Calculation result: (a) acceleration, (b) velocity, and (c) angle.
From these graphs, we can estimate the relationship between the magnitude of the input moments and the transformation time. Figures 10–12 show that it takes about 5–6 s for the deployment by the input moment
Figures 16 and 17 show the trajectory of motion of the “linked panel unit” during the deployment and fold, using the result of Case 3 and equations (1)–(4) with equations (44)–(48), which indicate that the transformation process is accelerated, respectively. These results may be useful when we design a lock mechanism to fix the structure in consideration of the impulse force generated by the acceleration and velocity at the end of the transformation shown in Figures 10–15(a) and (b).

(Case 3, Deploy) Trajectory of accelerated motion of “linked panel unit”: (a) each panel and (b) all panels.

(Case 3, Fold) Trajectory of accelerated motion of “linked panel unit”: (a) each panel and (b) all panels.
Conclusion
This article presented a derivation sequence of the dominant equation of the “linked panel unit” in space by its general dynamic modeling and showed its numerical calculation examples. The derived dominant equation expresses the relationship between the deployment motion and the input moment by an actuator. In the present study, the problem is how to estimate the input moment required for the deployment of the “linked panel unit” in space in consideration of the deployment time. For this problem, this article presented a continuum modeling method of the square panels and examined some cases of the positions of the input moments, using the dominant equation derived by the modeling. This numerical experimentation may be useful for designing the actuator considering the deployment time, including a lock mechanism in consideration of the impulse force generated by the acceleration and velocity at the end of the deployment. The derived dominant equation can also be used for studies of damping control and deceleration control of an actuator so as to avoid structural vibration on post-deployment.15,16 On the other hand, the validation of this theoretical method demands considerable physical experimentation, including final test in space. In our future research, we plan to produce a physical model with an extent of several meters so as to construct it in space eventually. Our future study also requires extension of the analysis model as shown in Figure 2 for larger space structures such as the SPS, which may be feasible by the general dynamic modeling shown in Figure 6.
Footnotes
Declaration of conflicting interests
The author(s) declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
Funding
The authors disclosed receipt of the following financial support for the research, authorship, and/or publication of this article: This work was supported by the JSPS (Japan Society for the Promotion of Science) (grant-in-aid for JSPS research fellows: 26.5965).
