【摘要】 在我国船舶自动舵控制领域,其核心技术严重依赖于国外厂商,因此本文主要对船舶自动舵的工作方式进行研究。通过采用PID控制方法,建立精确的自动舵控制数学模型。在设计PID控制策略时,需要综合考虑外部非线性因素和时变不确定等影响,通过适度提高PID控制器中的反馈力度,能够显著提升自动舵的控制水平,然后针对反馈控制环节,设计自适应神经网络算法,对反馈控制参数进行自学习优化,进一步提升了船舶自动舵的预测能力。更多还原

【Abstract】 In this paper, the core technology of ship automatic rudder control is seriously dependent on foreign manufacturers. Therefore, this paper mainly studies the working mode of ship automatic rudder, and establishes the accurate automatic rudder control mathematical model by using PID control method. In the design of PID control strategy, it is necessary to consider the influence of external nonlinear factors and time-varying uncertainties. By moderately increasing the feedback intensity in PID controller, the control level of automatic rudder can be improved remarkably, and then, for feedback control,adaptive neural network algorithm, the feedback control parameters of self-learning optimization, and further enhance the ship’s automatic rudder’s ability to predict.更多还原