Output details
13 - Electrical and Electronic Engineering, Metallurgy and Materials
Queen's University Belfast
An integrated multi-sensor data fusion algorithm and autopilot iImplementation in an uninhabited surface craft
As part of an EPSRC-funded project (GR/S76762/01), this collaborative research presented real-time control results on the Springer unmanned surface vehicle. The navigation, guidance and control (NGC) algorithms developed for Springer were based on soft-computing methodologies. A novel form of fuzzy-based data fusion navigation algorithm was developed and integrated with an adaptive fuzzy linear quadratic Gaussian (LQG) controller. Unlike other papers, where simulation data is mostly presented, experimental results were provided here which demonstrated the efficacy of the proposed NGC approach.