Prof. Qi Li Profile

Prof. Qi Li

at Shaanxi Univ of Science and Technology

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Proceedings Article | 20 August 2010 Paper

Application of improved grey prediction in intelligent valve positioner

Qi Li, Xianghe Luan

Proceedings Volume 7820, 78203K (2010) https://doi.org/10.1117/12.866812

KEYWORDS: Control systems, Data modeling, Systems modeling, Fuzzy logic, Error analysis, Mathematical modeling, Actuators, Process control, Computer simulations, Device simulation

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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.

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