Published November 2, 2022 | Version v2
Dataset Open

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

  • 1. University of Electronic Science and Technology of China
  • 2. Delft University of Technology

Description

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.

Files

all_files.zip

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