Abstract
In this paper, an input-output linearisation controller with an adaptive fuzzy outer loop is applied to the depth control of a nonlinear Remotely Operated Vehicle (ROV). The adaptive fuzzy system is added to increase the robustness as well as add 'intelligence' to conventional input-output controllers. The free control parameters are selected using multi-objective fuzzy genetic algorithm optimisation. Simulation results are presented which demonstrate that the proposed control scheme can enhance the closed-loop system performance by reducing the output tracking errors.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callMore From: Transactions of the Institute of Measurement and Control
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
