SCR denitration system disturbance suppression prediction control method based on converted ammonia injection amount

Abstract

The invention discloses an SCR denitration system disturbance suppression prediction control method based on a converted ammonia injection amount. The method comprises the steps: defining a transfer function matrix of a system; converting into a discrete state space model; setting a controlled quantity constraint condition; calculating a model matrix required by calculation of the incremental disturbance observer; obtaining an estimated value of the generalized state of the system; calculating an optimal control vector; calculating by an incremental disturbance observer; calculating a conversion ammonia spraying instruction at the current moment; sending the real-time control quantity to an actuator. According to the method, the disturbance inhibition capability of the control system can be remarkably improved, meanwhile, the robustness is high, the influence of model mismatch on the control system can be effectively coped with, the deviation level between the NOx concentration at theoutlet of the denitration device and the set value is reduced, and the control effect is improved.

Description

technical field [0001] The invention belongs to the technical field of wireless sensor networks, and in particular relates to a large-scale wireless sensor network data collection method based on an unmanned aerial vehicle. Background technique [0002] Selective Catalytic Reduction (SCR) flue gas denitrification technology is widely used in domestic thermal power unit flue gas denitrification technology, the technology is relatively mature, and the cost is low. However, the current SCR denitrification system still generally adopts the traditional PID control method. The SCR denitrification system is a typical process with large inertia and large delay. Due to the strong nonlinearity caused by the change of flue gas flow, the traditional PID controller often cannot achieve a good control effect, resulting in the NOx concentration at the device outlet relative to the set value. The language fluctuates greatly. For nonlinear problems, the multi-model weighting strategy is st...

AI Technical Summary

Problems solved by technology

The SCR denitrification system is a typical process with large inertia and large delay. Due to the strong nonlinearity caused by the change of flue gas flow, the traditional PID controller often cannot achieve a good control effect, resulting in the NOx concentration at the device outlet relative to the set value. big fluctuation

For nonlinear problems, the multi-model weighting strategy is still commonly used in engineering to solve the problem. The modeling workload is heavy and it is not convenient for on-site implementation.

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