Multi-channel synchronous sampling method for distributed control system controller data in alternating current power supply system
XIAO Xing
FAN Dehe
CHEN Bin
LUO Haixin
Abstract：[Objective]In an alternating current(AC)power system,the distributed control system(DCS)controller serves as a core component responsible for real-time acquisition and processing of various critical data,which is vital for the stable operation and fault prediction of the system.However,in practical applications,the data acquisition process of DCS controllers often encounters issues such as data loss or anomalies due to external electromagnetic interference,hardware failures,and other factors,which makes it difficult to determine data density and thus affects system reliability and accuracy.In view of this,a high-speed multi-channel synchronous sampling method for DCS controller data in AC power systems was proposed to address interference and data missing during data acquisition,thereby enhancing data quality and system performance.[Methods]The signal conditioning circuits preprocessed analog data signals from different channels to ensure that the signal quality met the analog-digital converter(ADC)conversion requirements.Field-programmable gate array(FPGA),serving as the control center,leveraged its parallel processing capabilities and programming flexibility to precisely control the ADC conversion process for each channel,achieving high-precision,low-latency synchronous sampling and effectively addressing the issues of phase deviation and data inconsistency caused by asynchronous sampling.For data missing,the Clearbout theory was adopted for data interpolation,intelligently estimating and filling missing data based on the time-frequency characteristics of the signal and the correlation of known data points and thereby ensuring data continuity and integrity.Additionally,the synchronous sampling algorithm was optimized using the ant colony algorithm,which dynamically adjusted sampling parameters by simulating the pheromone update mechanism of ants searching for food to enhance sampling efficiency and accuracy.[Results]Experimental results demonstrate that the proposed multi-channel synchronous sampling method significantly enhances the data acquisition performance of DCS controllers.The frequency spectrum diagram of the acquired DCS data is highly consistent with the actual data frequency spectrum diagram,which verifies the accuracy and reliability of the sampling method.The sampling speed is significantly increased,meeting the high real-time requirements of AC power systems.[Conclusion]In summary,the proposed method incorporates FPGA control to achieve high-precision,low-latency multi-channel synchronous sampling,solving phase deviation and data inconsistency issues.Introducing the Clearbout theory and ant colony algorithm effectively guarantees data integrity and optimizes the sampling algorithm.The designed multi-channel data upload mechanism avoids conflicts during data upload,ensuring smooth data transmission.These innovations not only improve the data acquisition capability of DCS controllers in AC power systems but also provide useful reference for the design and optimization of similar systems.Therefore,the application of the proposed method helps enhance the stability and reliability of entire AC power systems,reduces the risk of system failures caused by data anomalies,and is of great significance for ensuring the safe operation of power systems.
Keywords：alternating current power supply systemdistributed control system datahigh-speed multi-channeldata acquisitionfield-programmable gate array controlsynchronous data samplingClearbout theoryinterpolation of missing values
Publication Date：2025-07-25
Online Publishing Date：2025-09-18(First online date of this platform, not the publication date of the document)
Pages：7( 463-469 )