摘要
随着计算机自动控制技术的发展,船舶运动控制系统中融合了更多的智能化控制技术。为能够真实系统地反映出船舶运动系统的动态变化过程,本文设计基于小波算法的自动化运动控制系统,系统充分发挥了小波神经算法具有的自主学习、自适应和时频聚焦等特点。在保证系统运动姿态识别精度的同时,提出改进型的时滞小波神经网络预测算法。通过仿真实验证明,此算法能够良好适应船舶海上运动的大惯性和时变非线性等特性,在船舶自动化运动控制领域的应用前景广阔。
With the development of computer technology made automatic control of the ship's motion control system has been integrated with more intelligent control technology. In order to reflect the real system and the dynamic process of ship motion system,design automation motion control wavelet algorithm based system,give full play to the self-learning algorithm of wavelet neural adaptive and time-frequency characteristics of focus in ensuring precision motion gesture recognition system at the same time,the proposed time-delay wavelet neural network prediction algorithm modification,simulation experiments show that this algorithm can well adapt to large inertia and nonlinear time-varying characteristics of the movement of ships at sea,the ship's motion in automation control in the field of application prospects.
出处
《舰船科学技术》
北大核心
2016年第6X期49-51,共3页
Ship Science and Technology
关键词
船舶运动控制
小波算法
预测控制
建模仿真
ship motion control
wavelet algorithm
predictive control
modeling and simulation
