Decoupled control using neural network-based sliding-mode controller for nonlinear systems
Expert Systems with Applications: An International Journal
Trajectory planning and sliding-mode control based trajectory-tracking for cybercars
Integrated Computer-Aided Engineering - Informatics in Control, Automation and Robotics
Robotics and Autonomous Systems
EP-based kinematic control and adaptive fuzzy sliding-mode dynamic control for wheeled mobile robots
Information Sciences: an International Journal
Discrete time sliding mode control with application to induction motors
Automatica (Journal of IFAC)
DSP-based sliding mode speed control of induction motor using neuro-genetic structure
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Fault Monitoring and Fault Recovery Control for Position-Moored Vessels
International Journal of Applied Mathematics and Computer Science - Issues in Advanced Control and Diagnosis
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The main goal here is to design a proper and efficient controller for a ship autopilot based on the sliding mode control method. A hydrodynamic numerical model of CyberShip II including wave effects is applied to simulate the ship autopilot system by using time domain analysis. To compare the results similar research was conducted with the PD controller, which was adapted to the autopilot system. The differences in simulation results between two controllers are analyzed by a cost function composed of a heading angle error and rudder deflection either in calm water or in waves. Simulation results show the effectiveness of the method in the presence of nonlinearities and disturbances, and high performance of the proposed controller.