基于神经网络的主动式波浪补偿吊机系统研究
发布时间：2018-09-17 16:34
【摘要】：国家对于海上补给所需要的装备技术进行大力研发支持,使其迅速成为我国军事力量的一种凸显。本文研究的重点是在基于神经网络算法下应用了主动式波浪补偿技术的吊机系统。其中主动式波浪补偿技术是未来海洋补给装备中的一种新型高新技术,能够主动并且及时地补偿船舶因为海洋运动等因素而引起的一系列相对运动,确保在复杂的海洋环境下,船只能安稳顺利的全天候作业。主动式波浪补偿吊机系统的研发有着重大的战略意义和经济效益。本课题首先就波浪补偿技术的发展历程进行了简单的介绍,通过其发展历程将波浪补偿技术的进行分类,并对波浪补偿技术进行原理分析,从而发现无论是沿海国家还是内陆国家都对波浪补偿技术研究并不透彻,没有特别成熟的工业产品出现在市场上,本篇论文主要选择了波浪补偿技术中的主动式波浪补偿来进行深入探讨与研究。在研究了主动式波浪补偿原理的基础上,将主动式波浪补偿技术与被动式波浪补偿技术进行对比,并分析其优缺点。从而得知,船舶姿态预报在主动式波浪补偿中的重要性,并应用数学中的时间序列的方法,及时地对船舶的运行姿态进行预报。最后设计出具有主动式波浪补偿技术的吊机液压系统,并简述系统运作时的液压工作原理。在建立具有主动式波浪补偿技术的吊机系统的数学模型基础上,对主动式波浪补偿的控制系统进行深入的研究。控制策略的选择与整个系统的响应性稳定性有着直接的影响,本课题通过与传统控制理论对比分析下,选择了伪微分控制策略,并将其与神经网络进行结合,将基于神经网络下的伪微分控制算法应用到主动式波浪补偿吊机控制系统中来。通过Matlab软件进行仿真,显示出整个系统优越的性能,满足整个系统的控制要求。最后进行实验平台的搭建,利用Labview软件对整个系统进行实时监控,分析实验结果并进行实验验证。理论与实验的结合,充分表明了神经网络PDF控制策略结合了神经网络与PDF控制算法的优点,具有自适应性强、快速响应性好、抗干扰性强和稳定性良好等一系列特点,是一种十分优良的控制技术,满足本论文中的具有主动式波浪补偿技术的吊机系统对控制算法的要求,当然这种神经网络PDF控制算法在其他控制领域也具有广阔的应用前景。
[Abstract]:The state makes great efforts to develop and support the equipment and technology needed for sea supply, which makes it a kind of highlight of our military power. The emphasis of this paper is to apply active wave compensation technology to crane system based on neural network algorithm. The active wave compensation technology is a new high and new technology in the future ocean resupply equipment. It can actively and timely compensate a series of relative motions caused by the marine movement and other factors, so as to ensure that in the complex marine environment, The ship can only operate smoothly and smoothly all the time. The research and development of active wave compensation crane system is of great strategic significance and economic benefit. This paper introduces the development course of wave compensation technology, classifies wave compensation technology through its development process, and analyzes the principle of wave compensation technology. As a result, it is found that neither coastal nor landlocked countries have thoroughly studied wave compensation techniques, and that there are no particularly mature industrial products on the market, In this paper, we choose the active wave compensation in wave compensation technology to carry on the thorough discussion and the research. Based on the study of the principle of active wave compensation, this paper compares the active wave compensation technology with the passive wave compensation technology, and analyzes its advantages and disadvantages. Thus, the importance of ship attitude prediction in active wave compensation is obtained, and the method of time series in mathematics is applied to predict the ship's running attitude in time. Finally, the hydraulic system of crane with active wave compensation technology is designed, and the working principle of hydraulic system is described. On the basis of establishing the mathematical model of crane system with active wave compensation technology, the control system of active wave compensation is studied deeply. The choice of control strategy has direct influence on the response stability of the whole system. By comparing with the traditional control theory, the pseudo-differential control strategy is selected and combined with the neural network. The pseudo-differential control algorithm based on neural network is applied to the active wave compensation crane control system. The simulation by Matlab software shows that the whole system has superior performance and meets the control requirements of the whole system. Finally, the experiment platform is built, the whole system is monitored by Labview software, and the experimental results are analyzed and verified. The combination of theory and experiment shows that the neural network PDF control strategy combines the advantages of neural network and PDF control algorithm, and has a series of characteristics, such as strong adaptability, fast response, strong anti-interference and good stability. It is a very good control technology, which meets the requirements of the control algorithm for the crane system with active wave compensation technology in this paper. Of course, this neural network PDF control algorithm also has a broad application prospect in other control fields.
【学位授予单位】：江苏科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP183;U664.43
本文编号：2246495
[Abstract]:The state makes great efforts to develop and support the equipment and technology needed for sea supply, which makes it a kind of highlight of our military power. The emphasis of this paper is to apply active wave compensation technology to crane system based on neural network algorithm. The active wave compensation technology is a new high and new technology in the future ocean resupply equipment. It can actively and timely compensate a series of relative motions caused by the marine movement and other factors, so as to ensure that in the complex marine environment, The ship can only operate smoothly and smoothly all the time. The research and development of active wave compensation crane system is of great strategic significance and economic benefit. This paper introduces the development course of wave compensation technology, classifies wave compensation technology through its development process, and analyzes the principle of wave compensation technology. As a result, it is found that neither coastal nor landlocked countries have thoroughly studied wave compensation techniques, and that there are no particularly mature industrial products on the market, In this paper, we choose the active wave compensation in wave compensation technology to carry on the thorough discussion and the research. Based on the study of the principle of active wave compensation, this paper compares the active wave compensation technology with the passive wave compensation technology, and analyzes its advantages and disadvantages. Thus, the importance of ship attitude prediction in active wave compensation is obtained, and the method of time series in mathematics is applied to predict the ship's running attitude in time. Finally, the hydraulic system of crane with active wave compensation technology is designed, and the working principle of hydraulic system is described. On the basis of establishing the mathematical model of crane system with active wave compensation technology, the control system of active wave compensation is studied deeply. The choice of control strategy has direct influence on the response stability of the whole system. By comparing with the traditional control theory, the pseudo-differential control strategy is selected and combined with the neural network. The pseudo-differential control algorithm based on neural network is applied to the active wave compensation crane control system. The simulation by Matlab software shows that the whole system has superior performance and meets the control requirements of the whole system. Finally, the experiment platform is built, the whole system is monitored by Labview software, and the experimental results are analyzed and verified. The combination of theory and experiment shows that the neural network PDF control strategy combines the advantages of neural network and PDF control algorithm, and has a series of characteristics, such as strong adaptability, fast response, strong anti-interference and good stability. It is a very good control technology, which meets the requirements of the control algorithm for the crane system with active wave compensation technology in this paper. Of course, this neural network PDF control algorithm also has a broad application prospect in other control fields.
【学位授予单位】：江苏科技大学
【学位级别】：硕士
【学位授予年份】：2017
【分类号】：TP183;U664.43
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