Òåõíè÷åñêèå íàóêè/ Àâèàöèÿ è êîñìîíàâòèêà
Dr Nickolay Zosimovych, Dr Alex Noel Joseph Raj
Shantou University, Shantou, China
SYNTHESIS OF STABILIZATION ALGORITHMS IN THE SYSTEM CONTROLLING
ROTATIONS OF THE OPERATING DEVICE
Keywords: Space probe (SP), propulsion system (PS), angular velocity sensor (AVS),
operating device (OD), space vehicle (SV), feedback (FB), control actuator
(CA), control system (CS), angular stabilization (AS), center of mass (CM).
I. Introduction. In some cases, when using a control
system built according to the principle of program control (the "robust
trajectories" method) the efficiency of task solution is much influenced
by the accuracy of the spacecraft stabilization system in the powered portion
of flight. This concerns, for example, the trajectory correction phases during
interplanetary and transfer flights, when the rated impulse execution errors
during trajectory correction resulting from various disturbing influences on
the spacecraft in the active phase, greatly affect the navigational accuracy.
Hence, reduction of the cross error in the control impulse on the final
correction phase during the interplanetary flight, facilitates almost
proportional reduction of spacecraft miss in the "perspective plane".
For example, in some space probes (SP) like Deep Impact [1, 2] and Rosetta
missions [3, 4] reduction of cross error by one order during the execution of
correction impulse (for modern stabilization systems this value shall be ![]()
results in
reduction of spacecraft miss in the "perspective plane" from 200 to
20
Such
reduction of the miss accordingly
increases a possibility of successful implementation of the flight plan, as
well as the accuracy of the research and experiments conducted [5].
The
Martian Moons Exploration (MMX) mission is scheduled to launch from the Tanegashima Space Center in September 2024. The spacecraft
will arrive at Mars in August 2025 and spend the next three years exploring the
two moons and the environment around Mars. During this time, MMX will drop to
the surface of one of the moons and collect a sample to bring back to Earth.
Probe and sample should return to earth in the summer 2029 [6].
Objectives: to
solve the task of significant increase in stabilization accuracy of center of
mass tangential velocities during the trajectory correction phases when using
the "rigid" trajectory control principle.
Subject of research:
The center of mass movement stabilization system in the transverse plane, which
is used during the trajectory correction phases.
In order the control actions could be created during the spacecraft
trajectory correction phase, a high-thrust service propulsion system with a
tilting or moving in linear direction combustion chamber shall be used.
II. Content of the
Problem. We study
motions of the spacecraft in the normal plane of the inertial coordinate system
(Fig. 1) [5].
The center
of the
inertial coordinate system at the beginning of the active phase is the same as
the center of mass of the spacecraft; the axis
coincides
with the direction of the required correction impulse
axis
together
with axis
form a
normal plane. The angular position of the spacecraft in the normal plane is
determined by an angle
between
axis
of the
inertial coordinate system and X- axis
of the
bound coordinate system. Control of the spacecraft in the active phase shall be
done by deflection of combustion chamber of PS
at an angle
between
X-axis
of the
spacecraft and X-axis of the nozzle symmetry of PS [7].

Fig. 1. Spacecraft diagram in the inertial
coordinate system
The following assumptions and conditions were used in the process of
synthesis of the stabilization algorithms [5]:
1. We assume that the spacecraft is
subject to disturbances in the active phase (force
and moment
which are mainly caused by working PS (tilt
and thrust misalignment). Because of their nature, these parameters shall
slowly change in time throughout the active phase (except for the period from
the start of PS till switching to the nominal operation mode
For this reason, the disturbances may be
considered permanent within the active phase with a reasonable degree of
accuracy:
We shall consider the work of the
stabilization system within the entire possible range of disturbances:
(experrience shows
that the maximum force and moment are respectively about 0.30 and 3.50 in the
equivalent deviation angles of PS).
2. The motion of the spacecraft is considered as movement of the absolute
rigid body in vacuum relative to the reference trajectory in the normal plane
of the inertial coordinate system.
3. A high-thrust chemical engine is
used to control the spacecraft in the active phase. Control is provided by
deflecting PS combustion chamber. The servo control, which deflects the
combustion chamber includes a feedback control actuator.
To stabilize the angular position of the spacecraft we shall use the
information about deviation of the spacecraft body-fixed axes from the axes of
the inertial coordinate system implemented in the gyro stabilized platform
(CST) on board the spacecraft and the angular velocity sensors (AVS). The
information on the deviation of the tangential velocities shall be taken from
the accelerometers installed on CSP.
III. Mathematical model of the spacecraft center of
mass motion stabilization system. Taking in consideration the above assumptions and suppositions we can set
down a system of equations (1) describing the behavior of the spacecraft center
of mass motion stabilization system under study:
(1)
where
is the center of mass drift coordinate in the
inertial coordinate system;
are dynamic coefficients of the spacecraft;
where
is PS thrust,
is mass of the spacecraft;
where
is the distance from the gimball
assembly of PS to the center of mass of the spacecraft,
is momentum of inertia of the spacecraft
relative to the axis
of the bound coordinate system;
is a velocity performance index of the control
actuator;
is a control actuator feedback index;
is a response function of the angular
stabilization controller;
is a response function of the stabilization
controller through the center of mass channel.

Fig. 2. Block diagram of the
spacecraft center of mass motion stabilization system under study

Fig. 3. Block diagram of a standard center of mass
motion stabilization system of a spacecraft
According
to the above mathematical model, a block diagram of the stabilization system under
study shall be as follows (Fig. 2) [5, 7].
In order to improve accuracy of stabilization while using synthesized
algorithms, a model of a model of a standard stabilization system shall be
made. It is to be used as a reference model for comparison. The standard
stabilization model uses a known stabilization controller [8-10], which
provides control proportionally to the angle
of the
spacecraft angular rotation velocity in the normal plane
linear
drift
and the
drift velocity
A block
diagram of the standard stabilization system is shown in Fig. 3 [5, 7].
IV. Method to solve an invariant problem. As mentioned above, usage of methods of the
invariant theory [11-18] is seen as a way to improve the accuracy of the
automatic regulation system. In the present case, it is not possible to
synthesize the invariant stabilization system using the method of combined
regulation, which is traditional for invariant systems because actual
measurements of the disturbing effects are not available. However, publications
[19, 20] observe that it is possible to
build an invariant system without use of combined regulation methods, if we
apply the principle of dual-channel impact distribution in the controlled
object. The principle of dual-channel impact distribution resides in the fact
that if the controlled object has two
distribution channels of the same impact, we may achieve mutual
compensation of the impact transferred through the above channels by selecting
a respective law of control so that the regulated value becomes invariant
(independent) of the said impact.
Fig. 2 shows that the controlled object under study has two channels of
distribution of disturbing moment
[5].
Therefore we can improve the accuracy of the stabilization system by
using the invariant theory principle. So we select synthesis of high-precision
stabilization systems based on the principles of the invariant theory as a
method helping us to solve the problem set.
Conclusion. Based upon research results we can
conclude the following:
1. It is impossible to implement a
center of mass stabilization system, which is absolutely invariant regarding
both the disturbing force and disturbing moment.
2. It is possible to build an
absolutely invariant system regarding the disturbing moment due to presence of
two distribution channels in the controlled object.
3. A stabilization system, which is partially invariant regarding the
disturbing moment, is the easiest to implement in practice. In order to meet
the invariance conditions, a positive feedback is required from the flight
control actuator with a gain in angular deviation of the object in the angular
stabilization channel.
References
1.
Deep Impact Launch. Press Kit, January, 2005, NASA,
USA.
2.
William H. Blume. Deep Impact Mission Design. Springler, Space Science Reviews, 2005, PP. 23-42.
3. Matt Taylor. The Rosetta mission, ESA, 2011.
4.
Verdant M., Schwehm G.H.
The International Rosetta Mission, ESA Bulletin, February, 1998.
5. Nickolay Zosimovych,
Modeling of Spacecraft Centre Mass Motion Stabilization
System. International Refereed Journal of Engineering and Science (IRJES), Volume 6, Issue 4 (April 2017), PP. 34-41. [132]
6.
https://www.cosmos.esa.int/documents/653713/1000951/01_ORAL_Yamamoto.pdf/c0143f57-5863-46da-bc00-e32e88be08a6
- Yamamoto, M.-Y., Observation plan for Martian meteors by Mars-orbiting MMX
spacecraft. April, 11, 2017.
7.
Nickolay Zosimovych, Improving the Spacecraft Center of Mass
Stabilization Accuracy. IOSR
Journal of Engineering (IOSRJEN), Vol. 7, Issue 6 (June,
2017), PP. 7-14.
8.
Jiann-Woei Jang, Abran Alaniz, Robert Hall,
Nazareth Bedrossian, Charles Hall, Mark Jackson.
Design of Launch Vehicle Flight Control Systems Using Ascent Vehicle Stability
Analysis Tool. AIAA Guidance, Navigation, and Control Conference, 08-11 August
2011, Portland, Oregon, USA, AIAA 2011-6652.
9.
Ìîãèëåâñêèé Â.Ä. Íàâåäåíèå áàëëèñòè÷åñêèõ
ëåòàòåëüíûõ àïïàðàòîâ. M.: Íàóêà,
1982, 352 ñ.
10.
Àïïàçîâ Ð.Ô.,
Ëàâðîâ Ñ.Ñ., Ìèøèí Â.Ï. Áàëëèñòèêà óïðàâëÿåìûõ ðàêåò äàëüíåãî äåéñòâèÿ. Ì.:
Íàóêà, 1966, 308 ñ.
11.
Alonzo Kelly. Modern Inertial
and Satellite Navigation Systems. The Robotics Institute Carnegie Mellon
University, CMU-RI-TR-94-15, 1994.
12.
Veniamin V. Malyshev,
Michail N. Krasilshikov,
Vladimir T. Bobronnikov, Victor D. Dishel. Aerospace vehicle control, Moscow, 1996.
13.
Bassam Bamieh,
Fernando Paganini, Munther A. Dahleh.
Distributed Control of Spatially Invariant Systems, IEEE Transactions on
Automatic Control, Vol. 47, No. 7, July 2002, PP. 1091-1107.
14.
Ùèïàíîâ Ã.Â.
Òåîðèÿ è ìåòîäû ïðîåêòèðîâàíèÿ àâòîìàòè÷åñêèõ ðåãóëÿòîðîâ, Àâòîìàòèêà è
òåëåìåõàíèêà, ¹ 1, 1939.
15.
Áåéíàðîâè÷ Â.À. Èíâàðèàíòíûå ñèñòåìû àâòîìàòè÷åñêîãî
óïðàâëåíèÿ ñ ðåëåéíûì óñèëèòåëåì, Äîêëàäû ÒÓÑÓÐà, ¹2
(21), ×àñòü 1, Èþíü 2010, ÑÑ. 70-73.
16.
Hennet J.C., Trabuco Dorea
Carlos E. Invariant Regulators for Linear Systems under Combined Input and
State Constraints. Proc. 33rd Conf. of Decision and Control
(IEEE-CDC’94), Lake Buena Vista, Florida USA, Vol. 2, pp. 1030-1036.
17.
Amaria Luca, Pedro
Rodriguez, and Didier Dumur. Invariant sets method
for state-feedback control design, 17th Telecommunications forum
TELEFOR 2009, Serbia, Belgrad, November 24-26, PP.
681-684.
18.
Gazanfar Rustamov. Invariant Control Systems of Second Order, IV
International Conference “Problems of Cybernetics and Informatics” (PCI’2012),
September 12-14, 2012, Baku, PP. 22-24.
19.
Êóëåáàêèí Â.Ñ.
Òåîðèÿ èíâàðèàíòíîñòè àâòîìàòè÷åñêè ðåãóëèðóåìûõ è óïðàâëÿåìûõ ñèñòåì. – Ì.:
Íàóêà, 1960.
20.
Êóëåáàêèí Â.Ñ. Òåîðèÿ èíâàðèàíòíîñòè â ñèñòåìàõ
àâòîìàòè÷åñêîãî óïðàâëåíèÿ. – Ì.: Íàóêà, 1962.