Reduction of Testing Time & Cost
Reduction of in-situ tests time and cost is a crucial task of the UAS test site. One of the solutions to this task is to use methods of mathematical modelling to reduce the number of in-situ tests and partially replace in-situ tests with a computational experiment.
The application of mathematical modelling is planned in 4 main directions:
1. Mathematical confirmation of readiness to the prototype manufacturing
At this stage, the UAV and UAS design is generally defined and set in design documents. The information is sufficient to form a set of mathematical models confirming the achievement of the pre-designed flight characteristics. At this stage, the objective of modelling is to identify possible deviations from the pre-designed flight characteristics and make changes to the design before the UAV manufacturing.
At the same time data for the development and subsequent validation of mathematical models is taken both from the design documents for a specific UAV sample and findings of previous flight experiments on a similar type UAV.
2. Mathematical confirmation of readiness to the certification factory tests (CFT)
Previously created mathematical models are updated based on the results of computational experiments using HIL-simulation stands, which consist of physical samples - the UAV components. At this stage, the methods for reaching the critical conditions of the UAV testing, which reduce the total number of factory tests, are specified.
Eventually, it is planned to replace a part of the factory tests with a computational experiment; this will reduce both the testing time and the number of prototypes. Then, when performing CFTs, a database of flight experiment results is accumulated for further update of mathematical models.
3. Mathematical confirmation of readiness to certification control tests (CCT)
Previously created mathematical models are updated based on the results of CFTs. Readiness to perform the CCT program by a method of mathematical modelling of most (and, subsequently, all) flight tasks of the CCT program is confirmed.
Eventually, it is planned to develop a respective state regulatory framework for partial replacement of a flight experiment with a computational one to form a set of evidentiary documents for submission to certification authorities of the Russian Federation.
Replacement of certification flight tests with a computational experiment will further reduce both the time and cost of the test program without compromising flight safety.
4. Test program optimisation
Reduction of testing time and cost can be also achieved by the application of requirements management methods to optimise the flight test program and confirm its completeness. Flight tests optimisation can be achieved by flights integration – performance of several unrelated flight tasks during a single flight.