Remote Rendezvous Strategy for On‐Orbit Service Satellites Based on Multirevolution Perturbed Lambert Algorithm

On‐orbit service (OOS) satellites require precise remote rendezvous to complete critical missions such as refueling, malfunction repair, and space debris removal. Although the classical Lambert algorithm serves as a foundational tool for orbital maneuver design, it suffers from two significant limitations: excessive velocity increments required for long‐duration transfers and inaccuracies induced by space perturbations. To address these challenges, a novel remote rendezvous strategy for OOS satellites based on the multirevolution perturbed Lambert algorithm is proposed. By integrating coarse optimization and fine optimization, the strategy overcomes the initial value sensitivity and singular value risks inherent in traditional methods. Computer simulations show that, compared with the shooting‐based perturbed Lambert methods, the proposed algorithm achieves faster convergence, a wider convergence range, and avoids singular values caused by Jacobian matrix calculations.