Adjustable Adaptive Fuzzy Attitude Control using Nonlinear SISO Structure of Satellite Dynamics

Moradi, Morteza; Esmaelzadeh, Reza; Ghasemi, Ali

doi:10.2322/tjsass.55.265

Cited by 2 publications

(2 citation statements)

References 28 publications

(25 reference statements)

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“…Stabilizing a space robot with un-modeled uncertainties and external perturbations is a tedious task. In the literature, there are different methods such as the adaptive control, 20 H_∞ control, fuzzy control, 21 optimal control, and feedback linearization 22 to list a few. Although these non-linear robust control methods result in high performance and robustness, solving the associated Hamilton-Jacobi equation is often extremely complicated, and requires huge computational power; therefore, it makes the resulting controller hard to implement on the AOCS systems.…”

Section: Pid Controllermentioning

confidence: 99%

Linear controllers for free-flying and controlledfloating space robots: a new perspective

Mohamed¹,

Saaj²,

Seddaoui³

2020

AAOAJ

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Autonomous space robots are crucial for performing future in-orbit operations including servicing of a spacecraft, assembly of large structures, maintenance of other space assets and debris removal. Such orbital missions require servicer spacecraft equipped with one or more dexterous manipulators. However, unlike its terrestrial counterpart, the base of the robotic manipulator is not fixed in inertial space, instead, it is mounted on the basespacecraft, which itself possess both translational and rotational motions. Additionally, the system will be subjected to extreme environmental perturbations, parametric uncertainties as well as system constraints due to the dynamic coupling between the manipulator and the base-spacecraft. This paper presents the dynamic model of the space robot and a three-stage control algorithm to control such a highly dynamic non-linear system. In this approach, Feed-Forward compensation and Feed-Forward Linearization techniques are used to decouple and linearize the highly non-linear system respectively, therefore, allowing the use of the linear Proportional-Integral-Derivative (PID) controller and Linear Quadratic Regulator (LQR)as final stages. Moreover, a simulation-based trade-off analysis was conducted to assess the efficacy of both proposed controllers. This assessment considered the requirements on precise trajectory tracking, minimizing power consumption and robustness during the close-range operation with the target spacecraft.Research highlights: orbital space robotic missions, control of space robots, freeflying and controlled-floating modes of operation, application of linear controllers

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Section: Pid Controllermentioning

confidence: 99%

Linear controllers for free-flying and controlledfloating space robots: a new perspective

Mohamed¹,

Saaj²,

Seddaoui³

2020

AAOAJ

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“…Effectiveness of their proposed fault diagnosis methodology was demonstrated by utilizing synthetic formation flying data of five satellites that were configured in the leader-follower architecture. Moradi et al [21] presented a method for three-dimensional attitude stabilization of a satellite. The pitch loop of the satellite was controlled by a momentum wheel; whereas the roll/yaw loops were stabilized by using two magnetic torques along their respective axes.…”

Section: Fuzzy Set Theory In Astronomy and Astrophysicsmentioning

confidence: 99%

Fuzzy Sets in Earth and Space Sciences

Otay

Kahraman

2016

Fuzzy Logic in Its 50th Year

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Earth science refers to the field of science dealing with planet Earth while space science pertains several scientific disciplines studying the upper atmosphere, space, and celestial bodies rather than Earth. The fuzzy set theory is one of the tools that has been recently used in the earth and space sciences. In this chapter, we review and analyze the papers utilizing fuzzy logic in earth and space science problems from Scopus database. The graphical and tabular illustrations are presented for the subject areas, publication years and sources of the papers on earth and space sciences.

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Adjustable Adaptive Fuzzy Attitude Control using Nonlinear SISO Structure of Satellite Dynamics

Cited by 2 publications

References 28 publications

Linear controllers for free-flying and controlledfloating space robots: a new perspective

Linear controllers for free-flying and controlledfloating space robots: a new perspective

Fuzzy Sets in Earth and Space Sciences

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