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作 者:徐明灿[1] 曾诚 XU Ming-can;ZENG Cheng(Department of Mechanical and Electronic Engineering, Chongqing Three Gorges Vocational College, Chongqing 404000, China;School of Science, Guizhou Institute of Technology, Guiyang 550003, China)
机构地区:[1]重庆三峡职业学院机械与电子工程系,重庆404000 [2]贵州理工学院理学院,贵州贵阳550003
出 处:《控制工程》2019年第7期1360-1364,共5页Control Engineering of China
基 金:国家自然科学基金资助(61763004);贵州省科学技术基金资助项目(黔科合LH字[2014]7364号)
摘 要:针对相对阶数为2的非线性多变量质量-弹簧-阻尼机械振动系统,导出了近似的采样模型和离散性质.采用比Euler模型更复杂的离散采样方式,分析了该近似采样模型的局部截断误差和全局截断误差.特别地,通过研究导出近似离散时间控制模型的采样零动态,给出了相应的渐近特性,还分析设计了离散采样控制器.将线性质量-弹簧-阻尼机械模型情形推广到了非线性系统,在非线性系统辨识方面有应用价值.The approximate sampled-data models and discretization properties are derived for nonlinear multivariable mass-spring-damper mechanical vibration systems when the corresponding relative degrees of continuous plant are both two. The proposed sampled-data models use a more sophisticated derivative approximation than the simple Euler approach, and the local truncation error and global truncation error are also represented, respectively. An insightful interpretation of the given sampled-data models can be made in terms of an explicit characterization of nonlinear sampling zero dynamics which have no continuous-time counterpart. More importantly, nonlinear discrete-time controller design is also represented based on the above sampled-data model and zero dynamics. The ideas presented here generalize well-known results from the linear case to nonlinear plants. Finally, we also explore the implications of these results in nonlinear system identification.
关 键 词:采样数据模型 质量-弹簧-阻尼 零动态 非线性系统 系统辨识
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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