Application of improved grey prediction in intelligent valve positioner

Qi Li; Xianghe Luan

doi:10.1117/12.866812

20 August 2010 Application of improved grey prediction in intelligent valve positioner

Qi Li, Xianghe Luan

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78203K (2010) https://doi.org/10.1117/12.866812
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

Abstract

Intelligent valve positioner is the main part of pneumatic actuator. Intelligent valve positioner exhibits nonlinear and time-varying properties that cannot be captured by any existing model, so it is difficult to satisfy its requirement for high accuracy and fast speed through the use of a single control method. We propose a fuzzy-PID control method based on a grey model, which combines fuzzy control with PID control, and the system provides inherently more accurate predictions. To address the potential problems of the fast increasing serie's dimension and an over-capacity of micro controller unit (MCU) as a result of frequent measurements by the grey model, we introduce a grey model of equal dimension and the recursive least-squared method, which keep the matrix dimension constant, reduce the computation load and ensure real-time results. Our simulations confirm that our method provides rapid response, high accuracy and superior anti-interference capability. Our experiment proves that the intelligent valve positioner can be successfully applied to solve real-world problems.

Citation Download Citation

Qi Li and Xianghe Luan "Application of improved grey prediction in intelligent valve positioner", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78203K (20 August 2010); https://doi.org/10.1117/12.866812

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