Exploring iterative and non-iterative Fourier series-based methods of control optimization in application to a discontinuous capsule drive model - research data
Description
The research data are associated with the paper titled "Exploring iterative and non-iterative Fourier series-based methods of control optimization in application to a discontinuous capsule drive model". Both, the paper and the corresponding data provide evidence highlighting the superior efficiency of the iterative method compared to the non-iterative approach in optimizing capsule drives, where stick-slip discontinuity resulting from dry friction appears. The iterative approach guarantees a non-decreasing quality of solutions during successive iterations of the optimization procedure, while it cannot be provided by the non-iterative one. It is expected that the presented results will facilitate research in the optimal control field, especially within mechanical systems, in which discontinuities induced by impacts, dry friction and other phenomena occur.
Files
Steps to reproduce
The research data includes simulation and optimization software for the capsule drive (Python 3 scripts with C++ library). The C++ library has been developed using CodeBlocks software, and it is recommended to use the same software for code compilation. It is important to note that if the C++ library is compiled using a 32-bit compiler, a 32-bit Python 3 interpreter is necessary.
Institutions
Categories
Funding
National Science Center
2020/37/N/ST8/03448