Switching Markov chains for modelling the loads of a four-rotor swather under different operating modes
- Publication Type
- Conference proceedings
- Authors
- Paraforos, D.S., Griepentrog, H.W.
- Year of publication
- 2017
- Published in
- IFAC-PapersOnLine
- Pubisher
- Elsevier
- Band/Volume
- 50/1
- ISBN / ISSN / eISSN
- 2405-8963
- DOI
- 10.1016/j.ifacol.2017.08.1072
- Page (from - to)
- 5392-5397
- Conference name
- The 20th World Congress of the International Federation of Automatic Control
- Conference location
- Toulouse, France
- Conference date
- 9-14 July
Modelling and simulating the loads of agricultural machinery under different variable-loading conditions, is an important tool for optimising the design of these machines. The developed models should be based on real conditions that the machine will face during its service life. In this paper, the load-time series from a four-rotor swather were acquired under normal working conditions, performing infield swathing and headland turning. The turning points of these loads were modelled using switching Markov chains, in order to model the switching between these two operating modes (i.e. swathing and headland turning). A total of 10,000 Monte Carlo simulations were performed, in order to assess the proposed methodology. The comparison between the measured and the simulated loads was performed by calculating the correlation coefficient from the power spectral density (PSD) of the two signals. The mean value and the standard deviation of the correlation coefficient when comparing the PSD of all Monte Carlo simulations with the PSD for the measured load, was 0.87 and 0.05, respectively, while the 5th and 95th percentile was 0.78 and 0.94, respectively.