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Adaptive Fuzzy Control For Ship Autopilot with Course Constraint Based on Event-Triggered Mechanism

机译:基于事件触发机制的船舶自动驾驶仪的自适应模糊控制

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This paper develops an adaptive fuzzy control (AFC) method for ship autopilot systems with course constraint based on event-triggered mechanism. The fuzzy logic systems are utilized to identify the unknown nonlinear function existing the ship autopilot model. Meanwhile, we consider the course constraint problem of ship autopilot deployed in a narrow channel. The predefined course constraint is ensured by virtue of barrier Lyapunov function. To reduce the acting frequencies of actuator rudder, the event-triggered mechanism is integrated into controller procedure. The created control method can achieve the desired control performance compared with traditional time-triggered control law, while guarantees the boundedness of the ship autopilot systems. The validity is elucidated by simulation example.
机译:本文开发了一种自适应模糊控制(AFC)方法,用于自动驾驶系统,其基于事件触发机制,具有课程约束。模糊逻辑系统用于识别未知的非线性功能现有船舶自动驾驶仪模型。同时,我们考虑在狭窄通道中部署的船舶自动驾驶仪的课程约束问题。通过障碍Lyapunov功能确保预定义的课程约束。为了减少执行器舵的作用频率,事件触发机构集成到控制器过程中。与传统的时间触发的控制法相比,创建的控制方法可以实现所需的控制性能,而保证船舶自动驾驶系统的界限。通过模拟示例阐明了有效性。

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