2020
DOI: 10.2514/1.g004765
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Practical Constraints for the Applied Lambert Problem

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Cited by 5 publications
(3 citation statements)
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“…We use the penalty function method to deal with the constraint conditions; that is, when the constraint is not satisfied, a penalty term is added to the objective function, and the size of the penalty term is proportional to the value of the part beyond the limit, as shown in Equation (5).…”
Section: Solution Algorithm Frameworkmentioning
confidence: 99%
See 1 more Smart Citation
“…We use the penalty function method to deal with the constraint conditions; that is, when the constraint is not satisfied, a penalty term is added to the objective function, and the size of the penalty term is proportional to the value of the part beyond the limit, as shown in Equation (5).…”
Section: Solution Algorithm Frameworkmentioning
confidence: 99%
“…Huang et al characterized apogee and perigee height constraints as the lateral component range of eccentricity vector, and the solution of multirevolution transfer can be selected in advance to meet the constraints [4]. Thompson et al made the dynamic transformation of height constraints of apogee and perigee and determined the input direction of flight, transfer time, and cycle range by semimajor axis versus transfer time graph [5]. According to the demand of Moon-to-Earth transfer, Luo et al effectively transformed the dynamic characterization of the original Lambert problem for the quasi-Lambert problem with limited departure flight-direction angle but free transfer angle and gave a fast iterative solution [6].…”
Section: Introductionmentioning
confidence: 99%
“…A typical way of solving the Lambert problem is to establish a connection between the transfer time and a Kepler element [12][13][14]. It is also common to convert the Lambert problem into an optimization problem by adding constraints [15][16][17] to achieve the optimal solution to the interception problem [18,19]. Unfortunately, these methods are sensitive to an initial value for iteration, and thus, the b-spline interpolation function is introduced to provide the selection strategy of the initial value [20].…”
Section: Introductionmentioning
confidence: 99%