Consideration of performance assessment criteria required for a self-organizing fuzzy logic autopilot

This source preferred by Martyn Polkinghorne

Authors: Polkinghorne, M., Roberts, G.N. and Burns, R.S.

Pages: 151-159

Publisher: WIT Press

ISBN: 978-1853125225

This data was imported from Scopus:

Authors: Polkinghorne, M.N., Roberts, G.N. and Burns, R.S.

Volume: 1

Pages: 151-159

Small vessels are highly non-linear time variant systems. Autopilot control of such vessels requires on-line learning features to ensure optimal performance levels as variations in both environmental conditions and vessel dynamic characteristics occur. A performance assessment criteria is therefore proposed which utilizes both heading error and rate of change of heading error as a means of assessing vessel performance and rudder activity in the small vessel application. Results from full scale sea trials are discussed to validate the proposed design.

This data was imported from Web of Science (Lite):

Authors: Polkinghorne, M.N., Roberts, G.N. and Burns, R.S.

Pages: 151-159

The data on this page was last updated at 05:17 on April 2, 2020.