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    • 3. 发明授权
    • Self-tuning controller
    • 自整定控制器
    • US4881160A
    • 1989-11-14
    • US163915
    • 1988-03-03
    • Yoshikatsu SakaiYasuo NakaiAsao MiyabeTakafumi Kawano
    • Yoshikatsu SakaiYasuo NakaiAsao MiyabeTakafumi Kawano
    • G05B13/02
    • G05B13/0235G05B13/024
    • A controller in which proportional integral (PI) arithmetic is effected on a deviation between a measurement or process signal from a process or controlled system and a control set value, and a resultant manipulation signal is outputted to the process. A waveform of the process signal or the deviation signal is observed. PI arithmetic parameters undergo self-tuning so that the measurement result becomes a preset response target. In the preferred embodiment, means are provided for performing self-tuning on the PI arithmetic parameters including waveform observing means for using an area ratio of a first area to a second area as one of the evaluation indexes which represent patterns of the measured waveforms, the ratio being associated with the process signal or the deviation signal extending from a first generation timing of a first peak of the process signal or the deviation signal, to a subsequent second generation timing of a second peak, the second area being associated with the process signal or the deviation signal extending from the second generation timing to a timing given by second timing+(second timing - first timing).
    • 对于来自过程或受控系统的测量或过程信号与控制设定值之间的偏差进行比例积分(PI)运算的控制器,并且将所得到的操作信号输出到处理。 观察过程信号或偏差信号的波形。 PI算术参数进行自整定,使测量结果成为预设的响应目标。 在优选实施例中,提供了用于对PI运算参数执行自整定的装置,包括波形观察装置,用于将第一区域与第二区域的面积比用作表示测量波形图案的评估指标之一, 与从处理信号或偏差信号的第一峰值的第一生成定时延伸的过程信号或偏差信号相关联的第二峰值的后续第二生成定时,第二区域与处理信号相关联 或从第二生成定时延伸到由第二定时+(第二定时 - 第一定时)给出的定时的偏差信号。
    • 7. 发明授权
    • Self-optimizing method and machine
    • 自优化方法和机器
    • US4910660A
    • 1990-03-20
    • US121095
    • 1987-11-16
    • Chou H. Li
    • Chou H. Li
    • G05B13/02G06F15/18
    • G06N99/005G05B13/0235
    • A method for self-optimizing an object relative to a specific criterion or activity in response to variations on a prescribed number m of variables, comprising: computer-planning a set of n statistically designed, fractionally factorial tests for testing the m variables; performing the n tests on the very object in actual operation; determining from the n tests the combination of the m variables which optimizes the specific criterion or activity during the actual operation; setting the conditions of the m variables at the thus-determined optimal combination before the combination significantly changes; repeating or recycling the self-planning, performing, determining, and setting steps; and during each optimizing cycle employing the optimal combination as the experimental point in the immediately following recycle. A machine which self-optimizes according to this method is also disclosed.
    • 一种用于响应于规定数量m个变量的变化而相对于特定标准或活动自我优化对象的方法,包括:计算机计划一组统计学设计的,用于测试m个变量的分数阶乘测试; 对实际操作中的对象进行n次测试; 从n个测试确定在实际操作期间优化特定标准或活动的m个变量的组合; 在组合显着变化之前,将如此确定的最佳组合的m个变量的条件设置为; 重复或回收自我规划,执行,确定和设置步骤; 并且在每个优化周期期间采用最佳组合作为紧随其后的再循环中的实验点。 还公开了根据该方法进行自优化的机器。
    • 8. 发明授权
    • Self-optimizing method and machine
    • 自优化方法和机器
    • US4710864A
    • 1987-12-01
    • US652494
    • 1984-09-19
    • Chou H. Li
    • Chou H. Li
    • G05B13/02G06F15/18
    • G06N99/005G05B13/0235
    • The invention relates to method for self-optimizing, with closed-loop feed-back control but without human interaction, an object relative to a specific criterion or activity during the operation of said object and in response to variations on a prescribed number m of variables, comprising: planning without human control, guidance, supervision, and intervention a statistical design matrix for testing said m variables in n tests; according to the design matrix performing said n designed tests on said very object in actual operation; determining the instantaneous combination of said m variables which optimizes said specific criterion or activity during said actual operation; setting the conditions of said m variables at the thus-determined optimal combination before the combination significantly changes; and feeding back information on the status of optimization to achieve closed-loop feed-back control. The back-feeding step may be substantially continuous to achieve substantially continuous self-optimizing operation of the object. A machine in the form of programmed microprocessor embodying this close-looped self-optimizing method is also disclosed.
    • 本发明涉及用于自优化的方法,具有闭环反馈控制但不涉及人的相互作用,相对于所述对象的操作期间的特定标准或活动的对象,并且响应于规定数量的m个变量的变化 包括:规划没有人力控制,指导,监督和干预统计设计矩阵,用于在n个测试中测试所述m个变量; 根据在实际操作中对所述非对象执行所述n个设计的测试的设计矩阵; 确定在所述实际操作期间优化所述特定标准或活动的所述m个变量的瞬时组合; 在组合显着变化之前,将由此确定的最佳组合设置所述m个变量的条件; 并反馈关于优化状态的信息以实现闭环反馈控制。 反馈步骤可以是基本上连续的,以实现物体的基本上连续的自优化操作。 还公开了体现这种闭环自优化方法的编程微处理器的机器。
    • 10. 发明授权
    • Self-optimizing method and machine
    • 自优化方法和机器
    • US5410634A
    • 1995-04-25
    • US767154
    • 1991-10-21
    • Chou H. Li
    • Chou H. Li
    • G05B13/02G06F15/18
    • G05B13/0235G06N99/005
    • A method for automatically developing new and improved software according to a prespecified performance criterion comprising: automatically planning experiment on selected control variables related to the software; executing the planned experiment; analyzing the experimental results to compare the performance characteristics of the various combinations of the selected control variables in order to determine that combination which improves or optimizes the prespecified optimizing criterion; coding the thus-determined combination in computer-usable form; and saving the coded computer software onto a software storage device. A machine which automatically develops new, self-optimized software according to this method is also disclosed.
    • 一种根据预先确定的性能标准自动开发新的和改进的软件的方法,包括:自动规划与所述软件相关的所选控制变量的实验; 执行计划实验; 分析实验结果以比较所选择的控制变量的各种组合的性能特征,以便确定改进或优化预先指定的优化标准的组合; 以计算机可用形式编码由此确定的组合; 并将编码的计算机软件保存到软件存储设备上。 还公开了一种根据该方法自动开发新的优化软件的机器。