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通过输出反馈对航天器编队进行姿态协同控制
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目的-本文的目的是提出一种分散输出反馈控制器,用于在没有角速度反馈的情况下对航天器编队进行协同姿态调节。 设计/方法/方法-本文考虑分别由相对四元数和相对角速度表示的非线性相对姿态动力学和运动学方程。 采用超前滤波器合成虚拟角速度信号,从而实现输出反馈控制器的设计。 采用Lyapunov方法证明了闭环系统的稳定性。 考虑外部干扰,采用L2增益干扰衰减理论对控制器进行了改进。 进行了数值模拟,以验证所提出的控制器。 发现-发现在没有外部干扰的情况下可以确保闭环系统渐近稳定。 当考虑扰动时,只要满足提出的充分条件,改进的控制器就可以使系统统一最终稳定。 实际的意义-对于角速度传感器出现故障的情况,建议的输出反馈控制方案可以被认为是一种后备选择,或者对于根本没有角速度传感器的系统,它可以看作是另一种选择。 原创性/价值-与输出反馈领域中的大多数经典作品侧重于集中式方案并忽略干扰相比,本文提出的控制器能够以分散的方式处理多主体形成的输出反馈控制问题,因此以避免集中式方案的单一故障点。 同时,还同时实现了L2增益扰动衰减的能力。
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Attitude cooperative control of spacecraft
formation via output-feed back
Yueyong Lv, Qinglei Hu, Guangfu Ma and Jian Zhang
Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, China
Abstract
Purpose – The purpose of this paper is to propose a decentralized output feedback controller for cooperative attitude regulation of spacecraft
formation in absence of angular velocity feedback.
Design/methodology/approach – The nonlinear relative attitude dynamic and kinematic equations represented by relative quaternion and relative
angular velocity, respectively, are considered in this paper. The lead filter is employed to synthesize virtual angular velocity signal so that the design of
output feedback controller is achieved. Lyapunov method is adopted to prove the stability of closed-loop system. Considering the external disturbance,
the theory of L2-gain disturbance attenuation is employed to improve the designed controller. Numerical simulations are carried out to verify the
controllers proposed.
Findings – It is found that the closed-loop system can be guaranteed asymptotically stable in absence of external disturbance. When disturbance is
considered, as long as the sufficient condition proposed is satisfied, the improved controller can render system uniformly ultimately bounded stable.
Practical implications – The proposed output feedback control scheme can be considered as a fall-back alternative for the case that the angular
velocity sensors fail, or seen as another option for the system without angular velocity sensors at all.
Originality/value – Unlike most classical works in the field of output feedback which focus on centralized scheme and neglect the disturbance, the
controller proposed in this paper is able to handle the output feedback control problem of multi-agent formation in a decentralized fashion, so as to
avoid the single failure point of a centralized scheme. Meanwhile, the capability of L2-gain disturbance attenuation is also achieved simultaneously.
Keywords Spacecraft, Controllers, Decentralized output feedback, Cooperative attitude control, Spacecraft formation flying, Attitude regulation,
L2-gain
Paper type Research paper
Introduction
Spacecraft formation flying (SFF) has received extensive
interests in recent years (Bristow et al., 2000). By distributing
the functionality of a monolithic complex spacecraft between a
set of more than one smaller and closely flying spacecraft, the
performance of the whole system can be enhanced greatly.
Comparing with spacecraft constellation that is also based on
the distributing concept (Folta et al., 1998), any of the agent
spacecraft dynamic states are coupled together (Scharf et al.,
2004), while the dynamic states of spacecraft constellation are
mutually independent. In order to satisfy the requirement of
formation deployment so that the formation would work as a
virtual monolithic spacecraft, precise relative attitude control is
identified as another key issue as control of relative position.
Furthermore, when specified requirement is made such as
attitude coincident and alignment, it is of particular
significance to promote the research on cooperative attitude
control of SFF.
To implement cooperative attitude control, there are three
main control architectures: Leader-Follower (L-F), behavioral
and virtual structure architectures. The L-F architecture is
the most studied in present literatures, in which the
cooperative attitude control of formation is reduced to an
attitude tracking problem for the follower spacecraft itself
(Wang and Hadaegh, 1996; Wang et al., 1999; Kristiansen,
2009; Bondhus, 2005). Although this reduction could bring
the existing attitude control algorithms for a single spacecraft
to SFF and make the stability analysis easy, the follower is a
single point of fault. Additionally, when the leader spacecraft
rotates too fast for the follower to track, the configuration of
the formation would be difficult to keep due to there is no
explicit feedback from the follower to the leader (Wang et al.,
1999). As an alternative to L-F architecture, the basic idea of
virtual structure architecture is to regard the formation as a
whole virtual space structure, and each formation agent is
controlled individually. Comparing with L-F architecture, the
desired state trajectory is generated by the virtual structure
not a specific spacecraft as in L-F. In Beard et al. (2001) and
Ahn and Kim (2008), the virtual structure scheme was
successfully applied in attitude synchronization. Generally
speaking, the two architectures mentioned above have both
fallen into the category of centralized control. So the problem
of fault sensitive and tracking capability in L-F architecture
still exists in the virtual structure. In order to handle this
problem, explicit feedback was introduced into the virtual
structure (Ren and Beard, 2004a, b), and a cooperative
The current issue and full text archive of this journal is available at
www.emeraldinsight.com/1748-8842.htm
Aircraft Engineering and Aerospace Technology: An International Journal
84/5 (2012) 321–329
q Emerald Group Publishing Limited [ISSN 1748-8842]
[DOI 10.1108/00022661211255502]
This work was supported by the Scientific Research Foundation for
National Natural Science Foundation of China (Project Number:
61,004072, 61,174200), and Program for New Century Excellent
Talents in University (NCET-11-0801). The author fully appreciates the
financial support. The author would also like to thank the reviewers and
the Editor for many suggestions that helped improve the paper.
321
control scheme with each spacecraft’s information was
proposed. Nevertheless, each agent needs to run the
complex computation of virtual structure, and thus heavy
computation ability is required for the onboard computer. As
discussed in Balch and Arkin (1998) and Beard et al. (2001),
the behavioural architecture combines the outputs of multiple
controllers designed for different and possibly competing
behaviours together. Roughly speaking, it is a kind of complex
strategy. In Lawton et al. (2000), the behavioural architecture
is also used to maintain attitude alignment among a set of
spacecraft. An advantage of the behavioural architecture is
the explicit feedback is included, while it is hard to analyze
mathematically (Ren and Beard, 2004a, b). Indeed, all the
architectures stated previously fall into two opposite
categories: centralized and decentralized. Single point of
failure is an insoluble question for the centralized method,
which takes L-F architecture as typical representative.
Consequently, the centralized method is only suit for the
case that there are only few agents in the formation. Even
though some proposed method could work for a n-agent
formation and n could be arbitrarily large (Wong et al., 2002),
it can be converted to a set of two-body problem essentially.
While, it should be noted that all the literatures mentioned
above have utilized feedback of all states, i.e. full state
feedback control, which has naturally made an assumption
that each agent knows not only its own angular velocity but
also its neighbouring agents’. However, such assumption
cannot be always satisfied due to either cost limitation or
implementation considerations. As a remedy to such
situation, output feedback control methods, or methods
without angular velocity, have been proposed by several
researchers (Kristiansen, 2009; Bondhus, 2005; Ren and
Beard, 2004a, b; Wong et al., 2002; Caccavale and Villani,
1999; Wei, 2007; Turner, 2009; Lawton and Beard, 2002; Wu
et al., 2010; Abdessameud and Tayebi, 2009). Caccavale and
Villani (1999) presented two alternative schemes for attitude
tracking of single spacecraft in the absence of angular velocity
feedback. One scheme is based on model-based observer,
while the other is based on a lead filter. Especially what
deserves to be mentioned is that the lead filter approach can
be seen as a classical method for solving the output feedback
problem, and we try to employ this filter in this work. In Wei
(2007), the proposed distributed attitude synchronization
approach has taken advantage of Modified Rodriguez
Parameters (MRP) for attitude representation, and it is not
suitable for the design of global control law due to singularity of
MRP. Obviously, a simple method to handle this problem is to
utilize another attitude representation in which there is no
singularity. Fortunately, quaternion (Turner, 2009) is such one
kind of attitude representation we need. Lawton and Beard
(2002) presented an attitude alignment law which requires a
bidirectional ring communication topology and relies on a
restrictive domain of attraction for convergence analysis. By
contrast, in Wu et al. (2010), the only assumption of the inter
communication topology is that the communication links are
bidirectional. Meanwhile, it is should be noted that all the above
literature about output feedback did not consider the affect of
external disturbance torque. However, in practical application,
the disturbance could not be neglected. For the disturbance
attenuation, the theory of L2 stability (Khalil, 2002) provides
a feasible approach.
Inspired by the analysis above, the main contribution of this
work lies in proposing a decentralized output control law for
cooperative attitude regulation of SFF. Since the attitude is
represented by means of quaternion, the design of global
control law has been brought into practice. Due to the
employment of lead filter, a pseudo velocity vector is produced
so that only the quaternion feedback signal is taken by the
controller, i.e. output feedback. Furthermore, when the
external disturbance is considered, the controller is improved
to convert the closed-loop system the capability of L2-gain
disturbance attenuation. The rest of this paper is organized as
follows. The next section states attitude and relative attitude
dynamics and kinematics of spacecraft together with basic
L2-gain disturbance attenuation theory. Followingly, control
laws and closed-loop system stability analysis are derived.
Then, numerical simulation and comparison to verify the
performance of the proposed controller are described. Finally,
the paper is completed with some concluding comments.
Mathematical model
Attitude dynamics and kinematics
For a n-agent (n $ 2) spacecraft formation, the dynamics of
the ith agent spacecraft in the formation is described by Euler
differential equation for the attitude rotation and is given by
Shuster (1993):
J
i
_
v
i
¼ 2Sð
v
i
ÞJ
i
v
i
þ u
i
þ d
i
; i ¼ 1; 2· · · ð1Þ
where J
i
[ R
3£3
denotes the symmetric positive-definite inertia
matrix of the ith spacecraft,
v
i
[ R
3
is the angular velocity,
and u
i
and d
i
are control and disturbance torque vector,
respectively. Accordingly, the kinematic equation using
quaternion q
i
¼½
h
i
1
T
i
T
is expressed as (Shuster, 1993),
where 1
i
is a three dimensional vector:
_
q
i
¼
1
2
T ðq
i
Þ
v
i
¼
1
2
21
T
i
Eðq
i
Þ
2
4
3
5
v
i
; i ¼ 1; 2· · · ð2Þ
where the quaternion q
i
is defined with the constraint q
T
i
q
i
¼ 1,
and the quaternion operator Eð· Þ :R
4
! R
3£3
is defined as:
Eðq
i
Þ¼
h
i
I
3
þ Sð1
i
Þð3Þ
Here, the matrix operator S( · ) represents a skew-symmetric
matrix which is equivalent to the vector cross product operation
as follows:
SðaÞb ¼ a £ b; ;a ; b [ R
3
ð4Þ
with the following property holds:
z
T
SðaÞ
z
¼ 0; ;
z
– 0 ð5Þ
According to the definition, the following property of E(·)
is easy to prove.
Property 1. For the quaternion operator defined in
equation (3), it holds the property as:
z
T
Eðq
i
Þ
z
¼
h
i
z
T
z
; ;
z
– 0 ð6Þ
Attitude cooperative control of spacecraft formation
Yueyong Lv, Qinglei Hu, Guangfu Ma and Jian Zhang
Aircraft Engineering and Aerospace Technology: An International Journal
Volume 84 · Number 5 · 2012 · 321 – 329
322
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