关于自适应模式识别控制

A. Seif
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引用次数: 8

摘要

自适应模式识别控制的发展是基于对人类控制工程师的认知和思维的分析和描述,特别是其联想和定性的本质。这种分析产生了一个设计过程,它可以分为两个可以单独处理的基本任务:模式描述(任务1)和向模式分配控制动作。(任务2)自适应模式识别控制器(APRC)方案使用基本模式集方法进行模式描述(任务1),并使用迭代自适应控制器调整策略进行PI控制器设置(任务2)。描述了基于该基本模式方法的参数自适应PI控制器。在具有死时间的线性时变稳定最小/非最小相位过程的仿真研究中取得了较好的结果。应用于两个实验室装置的流量、压力和温度的控制是成功的
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On the adaptive pattern recognition control
The development of adaptive pattern recognition control was based on the analysis and description of cognition and thinking of a human control engineer, particularly its associative and qualitative nature. This analysis yielded a design procedure that can be divided into two basic tasks which can be treated separately: pattern description (Task 1) and assignment of control action to patterns. (Task 2). The adaptive pattern recognition controller (APRC) scheme uses an elementary pattern set approach for pattern description (Task 1) and an iterative adaptive controller adjustment strategy for a PI controller setting (Task 2). The parameter-adaptive PI controller based on this elementary pattern approach is described. It yielded good results in simulation studies for linear time-varying stable minimum/nonminimum phase processes with dead time. The application to two laboratory plants for the control of flow, pressure, and temperature was successful.<>
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