Nunez, 2021 - Google Patents

Optimal control of the ac75 sailboat for the america's cup race

Nunez, 2021

Document ID
9623882795018911052
Author
Nunez R
Publication year

External Links

Snippet

This research focuses on the development of optimal sailing maneuvers for an AC75 foiling sailboat competing in the America's Cup. The America's Cup is the oldest, most prestigious, and technologically advanced sailboat racing competition in the world. Each iteration brings …
Continue reading at search.proquest.com (other versions)

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/0206—Control of position or course in two dimensions specially adapted to water vehicles
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/08—Control of attitude, i.e. control of roll, pitch, or yaw
    • G05D1/0808—Control of attitude, i.e. control of roll, pitch, or yaw specially adapted for aircraft
    • G05D1/0816—Control of attitude, i.e. control of roll, pitch, or yaw specially adapted for aircraft to ensure stability

Similar Documents

Publication Publication Date Title
Peng et al. An overview of recent advances in coordinated control of multiple autonomous surface vehicles
Zhang et al. Model-reference reinforcement learning for collision-free tracking control of autonomous surface vehicles
CN109507885B (en) Model-free self-adaptive AUV control method based on active disturbance rejection
Gan et al. Model predictive adaptive constraint tracking control for underwater vehicles
Li et al. Design, analysis and experimental validation of a robust nonlinear path following controller for marine surface vessels
Corno et al. Data-driven online speed optimization in autonomous sailboats
Hong et al. Depth control of an autonomous underwater vehicle, STARFISH
Liu et al. Integrated line of sight and model predictive control for path following and roll motion control using rudder
Bibuli et al. ILOS guidance-experiments and tuning
CN114967714B (en) Autonomous underwater robot anti-interference motion control method and system
Liu et al. A hierarchical disturbance rejection depth tracking control of underactuated AUV with experimental verification
Qu et al. Nonlinear station keeping control for underactuated unmanned surface vehicles to resist environmental disturbances
Astrov et al. Neural predictive tracking control of catamaran model sailboat for situation awareness applications
Lin et al. The depth-keeping performance of autonomous underwater vehicle advancing in waves integrating the diving control system with the adaptive fuzzy controller
Tipsuwan et al. Overview and control strategies of autonomous sailboats—A survey
Yu et al. 3D path following for under-actuated AUV via nonlinear fuzzy controller
Dos Santos et al. Robust and Optimal Control Designed for Autonomous Surface Vessel Prototypes
Fan et al. Path-Following Control of Unmanned Underwater Vehicle Based on an Improved TD3 Deep Reinforcement Learning
Peimin et al. The design of gain scheduling PID controller of the USV course control system
Alfaro-Cid et al. Genetic programming for the automatic design of controllers for a surface ship
Nunez Optimal control of the ac75 sailboat for the america’s cup race
Rodriguez et al. Adaptive takeoff maneuver optimization of a sailing boat for America’s cup
Rodriguez Nunez OPTIMAL CONTROL OF THE AC75 SAILBOAT FOR THE AMERICA'S CUP RACE
Rodriguez et al. Adaptive Learning and Optimization of High-Speed Sailing Maneuvers for America's Cup
Liu et al. Simultaneously tracking and pitch control of underwater towed vehicle with multiple elevators: A finite-time fuzzy approach