Abstract:To address the problems of dispersed time references in multidisciplinary collaborative design of launch vehicle flight sequences, error-prone manual generation of comprehensive control parameters, and difficulty in correlating design baselines with flight-test verification data, a collaborative flight-sequence design and automated comprehensive control parameter generation method is proposed. First, a baseline-event alignment mechanism is adopted to map sub sequences from different disciplines onto a unified master-sequence timeline. Second, a dual-path independent state-evolution algorithm is constructed with the initial channel state as the common starting point, enabling the emergency shutdown path and the full-sequence path to perform control-word state calculations independently while maintaining continuous channel-state inheritance between adjacent feature-sequence segments. Third, a control-word export list is predefined for each input/output board in the execution-hardware configuration, so that parameter indices are determined by the hardware interface template, thereby avoiding index shifts caused by missing control words in the current sequence. Finally, fixed-version references and export snapshots are used to establish traceability between comprehensive control parameters and flight-test verification data. Engineering validation was conducted using a two-stage launch vehicle without strap-on boosters. The system automatically generated 1,070 rows of comprehensive control parameters, with all parameter indices consistent with the execution-hardware interface template. Under the same input conditions, compared with the conventional Excel-based manual process, the total time required for parameter generation and checking was reduced from 56 h to 30 min, representing a reduction of approximately 99.1%, while the number of manual revisions decreased from more than 100 to 10. During the engineering review of the automatically generated results, no parameter-index, control-word-state, or version-consistency errors were identified. The results demonstrate that the proposed method improves the efficiency, consistency, and traceability of collaborative flight-sequence design and comprehensive control parameter generation, while providing a unified design baseline for automated flight-test sequence verification.