Qiucen Fan

The lack of systematic and scientific top-level arrangement in the field of civil aircraft flight test leads to the problems of long duration and high cost. Based on the flight test activity, mathematical models of flight test duration and cost are established to set up the framework of flight test process. The top-level arrangement for flight test is optimized by multi-objective algorithm to reduce the duration and cost of flight test. In order to verify the necessity and validity of the mathematical models and the optimization algorithm of top-level arrangement, real flight test data is used to make an example calculation. Results show that the multi-objective optimization results of the top-level flight arrangement are better than the initial arrangement data, which can shorten the duration, reduce the cost, and improve the efficiency of flight test.

In the requirement-driven forward design process of civil aircraft, the large number of design tasks of complex systems with varying difficulty and the complex relationships between design tasks lead to unnecessary repetitive design iterations. In order to solve the above problems, the concept of overlap coefficient is proposed to further sort out the forward and backward logical relationships between design tasks and the civil aircraft system design process optimization model based on a numerical design structure matrix. The algorithm NSGA-II is improved and verified with the flight control system design as a case study. The results show that the proposed method can effectively improve the efficiency of complex system design and provide technical support for the optimization of the design process of complex civil aircraft systems.

In the field of modern aviation, the demand for civil aircraft design is growing rapidly and the granularity is continuously refined. Civil aircraft design has gradually become a large-scale, multi-disciplinary and complex system engineering with multi-disciplinary integration. In recent years, model-based systems engineering has gradually become a mainstream idea in civil aircraft design and has been widely used in the field of civil aircraft design. However, when the MBSE methodology analyzes the logical relationship between subsystem-level and component-level design activities, it is often simply defined as a finish-start relationship. This relationship cannot effectively describe the actual logical relationship between design activities, which in turn leads to problems such as extending the civil aircraft design cycle and increasing design costs. Aiming to solve the problem, this study firstly analyzes the generalized precedence relations between design activities. Secondly, the corresponding mathematical model was established. Finally, the Strength Pareto Evolutionary Algorithm 2 (SPEA2) is improved and be verified the effectiveness in the case of flight control system design.