Manufacturing Technology 2023, 23(4):551-556 | DOI: 10.21062/mft.2023.065

Research on Floating Point Accumulation Based on Improved Kahan Algorithm

Chunling Wang ORCID...
Institute of Robotics Engineering, Anhui Sanlian University, Hefei, China

In the actual factory production, there are often cases of liquid flow accumulation, and most of the controllers used in the project are PLC. Usually, the flow meter is used to measure the instantaneous flow, and then the analog (4-20mA) signal is transmitted to the PLC, and the PLC accumulates the cumulative flow within a certain period of time according to the instantaneous flow transmitted by the flow meter. Due to the floating point type of PLC, the direct accumulation will not reach the accuracy standard, and the cumulative error will occur. In order to eliminate the cumulative error, this paper proposes an improved algorithm based on Kahan 's algorithm. The improved algorithm greatly reduces the error of the cumulative flow than the original Kahan algorithm. The reduction of error is of great significance to the data analysis and production calculation of liquid or solid flow in the field of process industry control.

Keywords: Traffic accumulation, Kahan algorithm, pLC, Floating point number calculation, Reduce error
Grants and funding:

Research on prediction model of wound infection after lumbar fusion and internal fixation based on big data funded by the Education Department of Anhui Province in 2021, (KJ2021A1189). Research on Fatigue Driving Monitoring System Based on Machine Learning Education Department of Anhui Province in 2020 funded project for cultivating outstanding talents in colleges and universities (gxyq2020080). Major Project of Anhui Sanlian University Collaborative Center (ZJQR23001)

Received: May 24, 2023; Revised: August 9, 2023; Accepted: August 30, 2023; Prepublished online: August 30, 2023; Published: September 5, 2023  Show citation

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Wang C. Research on Floating Point Accumulation Based on Improved Kahan Algorithm. Manufacturing Technology. 2023;23(4):551-556. doi: 10.21062/mft.2023.065.
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