Application of Multi-Model Internal Model Control Based on Fuzzy Decision in SCR Denitration System

Abstract

The selective catalytic reduction denitration system has nonlinear and large delay characteristics under variable load conditions. Traditional PID control strategies are difficult to overcome this feature. This paper proposes a multi-model internal model control strategy based on fuzzy decision. The system model under typical conditions is collected as an estimation model for internal model control. The fuzzy decision is used to calculate the weight coefficient of the control quantity of each sub-controller. The method is applied to the ammonia injection control of the SCR denitration system. Compared with the traditional PID control method, the anti-disturbance capability is stronger and the response rapidity is increased, which provides a new idea for automatic adjustment of on-site ammonia injection.