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机构地区:[1]南阳理工学院电子与电气工程系,河南南阳473004 [2]武汉理工大学自动化学院,湖北武汉430070
出 处:《信息与控制》2009年第2期239-244,共6页Information and Control
基 金:河南省自然科学基金资助项目(2006520036)
摘 要:在分析相平面e-(?)的基础上,提出了一种仿人智能控制(HSIC)特征模型的新算法;将系统动态过程划分为若干运行模式,在系统响应性能指标与动态过程分区之间间接地建立了相互联系.控制结构上采用开闭环控制,即开环为主导的闭环控制,其控制模态简单.同时,将模糊控制与HSIC相结合,提出了一种新的智能控制器——模糊HSIC控制器.模糊控制器输入输出各语言变量的论域和HSIC特征模型新算法的相平面分区有直接的联系,其控制规则表可以由新算法的逻辑控制规则直接构建.仿真结果表明,HSIC特征模型新算法便于构建模糊控制器,且模糊控制器有较好的鲁棒性和抗干扰能力.A new algorithm of characteristic model of human simulated intelligent control (HSIC) is provided on the basis of phase plane e -è analysis. This controller divides the system dynamic process into some running modes and constructs relationships between the basic performance of the system response and the dynamic process divisions indirectly. The control structure is of open-closed-loop, that is to say, a closed-loop control system in which the opened-loop is magistral, and it has a simple control mode. At the same time, this paper combines fuzzy logic control with HSIC, and presents a new intelligent controller, i.e. fuzzy HSIC. Its domain of inputs and output linguistic variables has direct relations with the phase plane divisions of the new characteristic model algorithm of HSIC, and the control rule table is determined directly by the logical control rules of the new algorithm. The simulations show that it is convenient for the improved HSIC algrithm to construct the fuzzy controller and it has better performance in robustness and anti-disturbance.
分 类 号:TP391.9[自动化与计算机技术—计算机应用技术]
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