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Full-and reduced- order compensator for innosat attitude control
Fadzilah Hashim1, Mohd Yusoff Mashora2, Siti Maryam Sharun3.
This paper presents a study on the estimator based on Linear Quadratic Regulator (LQR)
control scheme for Innovative Satellite (InnoSAT). By using LQR control scheme, the
controller and the estimator has been derived for state space form in all three axes to
stabilize the system’s performance. This study starts by converting the transfer functions of
attitude control into state space form. Then, the step continues by finding the best value
of weighting matrices of LQR in order to obtain the best value of controller gain, K. After
that, the best value of L is obtained for the estimator gain. The value of K and L is combined
in forming full order compensator and in the same time the reduced order compensator is
also formed. Lastly, the performance of full order compensator is compared to reduced
order compensator. From the simulation, results indicate that both types of estimators have
presented good stability and tracking performance. However, reduced order estimator has
simpler equation and faster convergence to zero than the full order estimator. This property
is very important in developing a satellite attitude control for real-time implementation.
Affiliation:
- Universiti Malaysia Perlis, Malaysia
- Universiti Malaysia Perlis, Malaysia
- Universiti Sultan Zainal Abidin, Malaysia
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Indexation |
Indexed by |
MyJurnal (2021) |
H-Index
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6 |
Immediacy Index
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0.000 |
Rank |
0 |
Indexed by |
Scopus 2020 |
Impact Factor
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CiteScore (1.4) |
Rank |
Q3 (Engineering (all)) |
Additional Information |
SJR (0.191) |
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