一种用于排烟系统的风量自适应调节控制方法
An adaptive control method based on multi-dimensional perception and dynamic compensation modeling was adopted to solve the problems of control accuracy and energy efficiency of the flue gas system of low-temperature kiln under complex operating conditions. It achieved high-precision air volume regulation and stability under all operating conditions, thereby improving the quality and energy efficiency of kiln production.
Patent Information
- Application Number
- CN202610495707.7
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2026-04-15
- Publication Date
- 2026-07-17
- Estimated Expiration
- 2046-04-15
AI Technical Summary
Existing low-temperature kiln exhaust systems suffer from limitations such as single sensing dimension, lagging adjustment logic, and lack of adaptive capability when facing complex nonlinear dynamic conditions. This results in low control accuracy, system oscillation, and energy efficiency redundancy, making it difficult to achieve precise air volume adjustment.
By employing multi-dimensional physical parameter fusion sensing, combined with dynamic mass flow compensation modeling, adaptive control strategies, and actuator energy efficiency optimization, the system dynamic characteristics are identified online using the recursive least squares method. A Smith predictor and adaptive fuzzy PID control are introduced to achieve feedforward-feedback composite control and optimize the smoke exhaust air volume regulation.
It achieves high-precision, stable and efficient air volume regulation of the exhaust system under all operating conditions, eliminates false offset errors, adapts to the time-varying characteristics of the system, enhances anti-interference ability, reduces energy consumption and mechanical fatigue, and ensures the stability of the kiln thermal regime.
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Abstract
Citation Information
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