Data set for reliability-based lift-to-power consumption optimization with an accelerated Kriging model for clapping-wing micro air vehicles

Procedures of the reliability-based lift-to-power consumption optimization with an accelerated Kriging model Step 1: Run the file “LHS.m” to generate initial samples. Step 2: Modify the aerodynamic model according to initial samples (e.g. flapping1_Def.xml, flapping1.bat), and then run the “.bat file” to obtain the original force data. Step 3: Run the file “Kriging.m” to obtain the average lift using a filter. Step 4: Run the file “FW_2.m”, “FW_3.m” to obtain sub-optimal-result. Step 5: Find the new training sample and obtain the eigenvalue of the new training sample. Step 6: Rerun the file “FW_2.m”, “FW_3.m” to obtain sub-optimal-result by reloading the new “.mat” files (e.g. FW_2_41.mat, FW_2_P_20.mat). Step 7: Go to Step 4 until the convergence criteria are satisfied. Step 8: Obtain the optimal result. PS: Other files are function files.

Related Organizations

Delft University of Technology
Netherlands
University of Electronic Science and Technology of China
China (People's Republic of)

Keywords

Kriging, Flapping wings, Fluid-structure interaction, Reliability-based optimization

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