摘要
海洋平台长期在十分恶劣的自然环境中工作,所受环境载荷比较复杂,在外界载荷激励下容易产生有害振动。采用被动控制方法和传统的主动控制方法来控制海洋平台的有害振动很难达到理想的控制效果。支持向量机在解决小样本、非线性等问题中表现出许多特有的优势,使用支持向量机回归的方法辨识导管架式海洋平台系统的预测逆模型,将辨识的预测逆模型作为自适应预测逆控制器来控制导管架式海洋平台在波浪和风载荷作用下产生的有害振动,通过数值算例分析表明此种控制方法可有效地控制导管架式平台的有害振动。
An offshore platform works long-term in a very tough natural environment.The platform is prone to excessive vibration under uncertain external forces.Ideal vibration control effect can not be achieved with traditional active and passive control methods.Support vector machines are characterized by their distinctive superiorities in solving small sample,non-linear problems.Predictive inverse control method based on a support vector machine as a regression tool can be adopted to approximate the inverse plant model.Then,the model is copied as the adaptive predictive inverse controller to control the excessive vibration of an offshore platform structure under wave load and wind load.Simulation results indicate that the method is feasible and effective.
出处
《振动与冲击》
EI
CSCD
北大核心
2008年第10期156-160,共5页
Journal of Vibration and Shock
关键词
导管架式海洋平台
支持向量机
动态刚度阵法
自适应逆控制
波浪载荷
风载荷
offshore platform
support vector machine
dynamic stiffness matrix
adaptive predictive inverse control
wave load
wind load
