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

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