Automated embedded tuning of model-less controllers

    公开(公告)号:US12038728B2

    公开(公告)日:2024-07-16

    申请号:US17483335

    申请日:2021-09-23

    CPC classification number: G05B13/042

    Abstract: A method may include receiving data representative of one or more commands generated by a model-less controller to control operations of devices within a system and output parameters associated with the devices of the system. The method may also include determining whether the data is indicative of a change in operational characteristics of the system and generating a model representative of the operational characteristics of the system as a function of the data based on a Bayesian optimization algorithm in response to the data being indicative of the change. The method may also involve transmitting an excitation input to the devices in response to the data not being indicative of the change, receiving updated output parameters associated with the devices of the system after the excitation input is transmitted, and generating the model based on the updated output parameters and the excitation input.

    AUTOMATED DIAGNOSIS OF AUGMENTED ACOUSTIC MEASUREMENT IN INDUSTRIAL ENVIRONMENTS

    公开(公告)号:US20230061688A1

    公开(公告)日:2023-03-02

    申请号:US17463159

    申请日:2021-08-31

    Abstract: A computer-readable medium may include instructions that may cause a processor to perform operations that may include receiving audio data representative of sound waves generated by industrial devices and extracting features from the audio data. The features may be representative of a portion of the audio data. The operations may also include identifying a subset of the features based on distances between each of the plurality of features in an information space. The information space may include known clusters. The operations may then include determining that the subset of the features corresponds to an unknown cluster in the information space, performing a constrained classification operation based on each feature of the subset of the features to identify a new known cluster for the information space, and modifying operations of the industrial devices based on the new known cluster.

    AUTOMATED EMBEDDED TUNING OF MODEL-LESS CONTROLLERS

    公开(公告)号:US20230092851A1

    公开(公告)日:2023-03-23

    申请号:US17483335

    申请日:2021-09-23

    Abstract: A method may include receiving data representative of one or more commands generated by a model-less controller to control operations of devices within a system and output parameters associated with the devices of the system. The method may also include determining whether the data is indicative of a change in operational characteristics of the system and generating a model representative of the operational characteristics of the system as a function of the data based on a Bayesian optimization algorithm in response to the data being indicative of the change. The method may also involve transmitting an excitation input to the devices in response to the data not being indicative of the change, receiving updated output parameters associated with the devices of the system after the excitation input is transmitted, and generating the model based on the updated output parameters and the excitation input.

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