一种燃煤机组SCR脱硝系统出口NOx浓度的相位补偿Smith预估控制方法及系统
By employing the phase-compensated Smith predictive control method, the control problem of the SCR denitrification system under nonlinear and large delay characteristics was solved, achieving high-quality dynamic control of the NOx concentration at the outlet of the SCR denitrification system in coal-fired units, and improving the ammonia injection regulation accuracy and system stability.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- ANHUI ANQING WANJIANG POWER GENERATION
- Filing Date
- 2025-12-31
- Publication Date
- 2026-07-17
AI Technical Summary
Existing SCR denitrification systems suffer from poor adaptability, insufficient adjustment accuracy, and weak anti-interference ability when faced with nonlinear, time-varying, and large delay characteristics, making it difficult to achieve high-quality dynamic control of NOx concentration at the outlet of SCR denitrification systems in coal-fired power units.
A phase-compensated Smith predictive control method is adopted. By constructing a two-degree-of-freedom Smith predictive control framework, combined with phase compensation and filters, a dynamic model is established between the ammonia injection valve opening and the outlet NOx concentration. This enables predictive compensation for large delays and large inertia. Phase compensation and filtering are introduced into the error correction channel to improve the loop phase margin and noise immunity. Combined with controller parameter tuning and simulation verification mechanisms, the influence of operating condition fluctuations and parameter drift is suppressed.
It significantly improved the dynamic tracking quality and closed-loop stability margin of NOx concentration at the outlet of the SCR denitrification system in coal-fired power units, enhanced the ammonia injection regulation accuracy and anti-disturbance capability, and improved the stability and response speed of the control system.
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Abstract
Citation Information
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