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    • 66. 发明公开
    • A METHOD FOR COMPUTER-AIDED CONTROL OF AN AUTOMATION SYSTEM
    • 一种自动化系统的计算机辅助控制方法
    • EP3165973A1
    • 2017-05-10
    • EP15192771.2
    • 2015-11-03
    • Siemens Aktiengesellschaft
    • Boschert, StefanMirabella, LuciaObst, BirgitWever, Utz
    • G05B13/04
    • G05B13/042G05B11/32G05B13/047G05B13/048G05B2219/35499
    • The invention refers to a method for computer-aided control of an automation system (100) by use of a digital simulation model (SM) which simulates the automation system (100) and which is specified by a number parameters comprising a number of configuration parameters (CP) describing the configuration of the automation system (100) and a number of state parameters (SP) describing the operational state of the automation system (100). Simulated operation runs of the automation system (100) based on the simulation model (SM) can be performed with the aid of a computer, where a simulation run predicts a number of performance parameters (PP) of the automation system (100). The following steps a) to c) are performed at each processing event (PE) of a plurality of successive predetermined processing events (PE) during the real operation of the automation system (100). In a step a), the values of the number of state parameters (SP) of the automation system (100) in real operation are sensed and a simulated operation run based on the simulation model (SM) specified by the number of configuration parameters (CP) and the number of sensed state parameters (SP) is performed. In a step b), if one or more predetermined performance parameters (PP) predicted by the simulated operation run in step a) do not fulfil a performance criterion (PC), the simulation model (SM) is adapted by changing one or more predetermined configuration parameters (CP) such that the one or more predetermined performance parameters (PP) predicted by a simulated operation run based on the adapted simulation model (SM) fulfil the performance criterion (PC). In a step c), the predetermined configuration parameters (CP) of the automation system (100) in real operation are adjusted to the changed predetermined configuration parameters (CP').
    • 本发明涉及一种用于通过使用模拟自动化系统(100)的数字仿真模型(SM)来对自动化系统(100)进行计算机辅助控制的方法,所述数字仿真模型(SM)由包括多个配置参数 (CP)描述自动化系统(100)的配置以及描述自动化系统(100)的操作状态的多个状态参数(SP)。 基于仿真模型(SM)的自动化系统(100)的仿真运行运行可以借助于计算机来执行,其中仿真运行预测自动化系统(100)的多个性能参数(PP)。 在自动化系统(100)的实际操作期间,在多个连续的预定处理事件(PE)的每个处理事件(PE)处执行以下步骤a)至c)。 在步骤a)中,感测实际操作中的自动化系统(100)的状态参数(SP)的数量值,并且基于由配置参数的数量(SM)指定的模拟模型(SM) CP)并且执行感测的状态参数(SP)的数量。 在步骤b)中,如果由步骤a)中运行的模拟操作预测的一个或多个预定性能参数(PP)不满足性能标准(PC),则通过改变一个或多个预定义 配置参数(CP),使得通过基于适配的仿真模型(SM)的仿真操作运行预测的一个或多个预定性能参数(PP)满足性能标准(PC)。 在步骤c)中,将实际操作中的自动化系统(100)的预定配置参数(CP)调整为改变后的预定配置参数(CP')。
    • 69. 发明公开
    • Plant control apparatus
    • Anordnung zur Steuerung von Apparatur
    • EP2264302A1
    • 2010-12-22
    • EP10181437.4
    • 2002-04-19
    • Honda Giken Kogyo Kabushiki Kaisha
    • Yasui, YujiIwaki, YoshihisaTakahashi, Jun
    • F02D41/14G05B13/04G05B23/02
    • G05B13/042F02D35/0007F02D41/1403F02D41/1454F02D41/40F02D2041/1423F02D2041/143G05B13/047G05B13/048
    • A control system for a plant is provided. This control system can control the plant more stably, when the model parameters of the controlled object model which are obtained by modeling the plant, which, is a controlled object, are identified and the sliding mode control is performed using the identified model parameters. The model parameter identifier (22) calculates a model parameter vector (θ) by adding an updating vector (dθ) to a reference vector (θ base) of the model parameter. The updating vector (d θ) is corrected by multiplying a past value of at least one element of the updating vector by a predetermined value which is greater than "0" and less than "I". The model parameter vector (θ) is calculated by adding the corrected updating vector (dθ) to the reference vector (θbase).
    • 提供了一种植物控制系统。 当通过对作为受控对象的设备进行建模而获得的受控对象模型的模型参数被识别并且使用所识别的模型参数来执行滑动模式控制时,该控制系统可以更稳定地控制设备。 模型参数标识符(22)通过向模型参数的参考向量(¸base)添加更新向量(d¸)来计算模型参数向量(¸)。 通过将更新向量的至少一个元素的过去值乘以大于“0”且小于“I”的预定值来校正更新向量(d¸)。 通过将校正后的更新矢量(d¸)与参考矢量(¸base)相加来计算模型参数矢量(¸)。