Uncertainty Analysis of the Short-Arc Initial Orbit Determination

Tao, Xuefeng; Li, Zhi; Gong, Qiuwu; Zhang, Yasheng; Jiang, Ping

doi:10.1109/access.2020.2971588

Cited by 9 publications

(3 citation statements)

References 23 publications

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“…It is important to place the initial solution evenly in the problem area for improving the performance of heuristic algorithms for various optimization problem such as random forest [20], [21], [22], [23], [24]. The location of the optimal point is generally unknown and when the normal sampling method in the problem area is used, it is difficult to evenly distribute the initial solution.…”

Section: B Latin Hypercube Samplingmentioning

confidence: 99%

A Study on the Optimal Design of PMa-SynRM for Electric Vehicles Combining Random Forest and Genetic Algorithm

Kwon

Lim

2023

IEEE Access

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This paper proposes a method that combines random forest technology (RF) and a genetic algorithm (GA) for optimal design of traction motors for electric vehicles (EVs). The target motor is a permanent magnet assisted synchronous reluctance motor (PMa-SynRM), for which the design goal is to increase the average torque and efficiency while reducing the total harmonic distortion (THD) of the lineto-line back electromotive force (LtoL BEMF) and torque ripple. The superiority of the RF technology was verified by comparison with other machine learning methods through two mathematical test functions. Prediction accuracy was improved through hyperparameter tuning using the GridSearchCV technique. The design variables, selected for the optimal design of the target application, were proved to be an influential variable through sensitivity analysis techniques. Finally, stress analysis, thermal analysis, and irreversible demagnetization analysis were conducted to prove the validity of the selected optimal design. The applicability of the proposed method was verified by increasing the average torque by 12.92% and reducing torque ripple, cogging torque, and LtoL BEMF THD by 36.01%, 50.0%, and 4.58% respectively.INDEX TERMS Design optimization, electric vehicles, motor design, permanent magnet assisted synchronous reluctance motor, random forest, traction motor. DONG-KUK LIM (Member, IEEE) received the B.S. degree in electrical engineering from Dong-

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Section: B Latin Hypercube Samplingmentioning

confidence: 99%

A Study on the Optimal Design of PMa-SynRM for Electric Vehicles Combining Random Forest and Genetic Algorithm

Kwon

Lim

2023

IEEE Access

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“…The traditional method of initial orbit determination is to solve the parameter estimation problem for conic curves under perturbation conditions, that is, the spacecraft's orbit in space can be approximated as a conic curve [5]. However, for a continuous thrust spacecraft, its orbit in space cannot be described by a conic curve, the unknown thrust acceleration increases the dimension of the problem, and the traditional initial orbit determination algorithm [6] is no longer applicable. JianRong Chen et al [7] used the simplex method to solve the orbit determination problem of a continuous small-thrust maneuvering satellite based on the start and end times of electric propulsion control.…”

Section: Introductionmentioning

confidence: 99%

Initial Identification of Thrust and Orbit Elements for Continuous Thrust Spacecraft in Circular Orbit

Zhao,

Tao,

2023

Aerospace

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Continuous thrust spacecraft in circular orbits have had a great influence on the identification and cataloging of space targets. Gaussian-type orbital element variational equations are simplified and approximated. Ground-based radar observation datasets are transformed into orbit elements datasets. The initial thrust and orbit elements are obtained by optimally solving the spatial parameter error sum of squares minimization problem with the Levenberg–Marquardt method. The simulation analysis is carried out under the high-precision orbit model, and the solution error of tangential acceleration is around 5 × 10−7 m/s2, and that of normal acceleration is around 3 × 10−6 m/s2; the accuracy of the semi-major axis is 350 m, and the accuracy of inclination is 0.095°. The method is applicable to the preliminary identification of thrust and orbit elements for circular orbit continuous thrust spacecraft and can provide reliable initial values for the subsequent precision orbit determination of such spacecraft.

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“…Sciré et al showed that the batch estimators could be a useful tool to estimate the state of space debris at a certain time [24]. Tao et al presented a more accurate IOD method [25], namely the Laplace-LS orbit determination method, whose estimation variance is close to the Cramer-Rao Lower Bound (CRLB). It can be used when the observation arc is very short or the sensor has limited accuracy.…”

Section: Introductionmentioning

confidence: 99%

Short-Arc Association and Orbit Determination for New GEO Objects with Space-Based Optical Surveillance

Jian¹,

Lei

Zhao

et al. 2021

Aerospace

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For Geosynchronous Earth Orbit (GEO) objects, space-based optical surveillance has advantages over regional ground surveillance in terms of both the timeliness and space coverage. However, space-based optical surveillance may only collect sparse and short orbit arcs, and thus make the autonomous arc association and orbit determination a challenge for new GEO objects without a priori orbit information. In this paper, a three-step approach tackling these two critical problems is proposed. First, under the near-circular orbit assumption, a multi-point optimal initial orbit determination (IOD) method is developed to improve the IOD convergence rate and the accuracy of the IOD solution with angles-only observations over a short arc. Second, the Lambert equation is applied to associate two independent short arcs in an attempt to improve accuracy of the single-arc IOD semi-major axis (SMA) with the use of virtual ranges between the optical sensor and GEO object. The key idea in the second step is to generate accurate ranges at observation epochs, which, along with the real angle data, are then used to achieve much improved SMA accuracy. The third step is basically the repeated application of the second step to three or more arcs. The high success rate of arc associations and accurate orbit determination using the proposed approach are demonstrated with simulated space-based angle data over short arcs, each being only 3 min. The results show that the proposed approach is able to determine the orbit of a new GEO at a three-dimensional accuracy of about 15 km from about 10 arcs, each having a length of about 3 min, thus achieving reliable cataloguing of uncatalogued GEO objects. The IOD and two-arc association methods are also tested with the real ground-based observations for both GEO and LEO objects of near-circular orbits, further validating the effectiveness of the proposed methods.

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Uncertainty Analysis of the Short-Arc Initial Orbit Determination

Cited by 9 publications

References 23 publications

A Study on the Optimal Design of PMa-SynRM for Electric Vehicles Combining Random Forest and Genetic Algorithm

A Study on the Optimal Design of PMa-SynRM for Electric Vehicles Combining Random Forest and Genetic Algorithm

Initial Identification of Thrust and Orbit Elements for Continuous Thrust Spacecraft in Circular Orbit

Short-Arc Association and Orbit Determination for New GEO Objects with Space-Based Optical Surveillance

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