基于控制受限MIMO预测控制的超超临界机组集中式协调控制

当前超超临界机组协调系统采用的控制方案在变负荷过程中不能将主汽压力与中间点温度同时很好的控制在设计值附近，这严重影响机组安全性、经济性。基于控制受限MIMO（multiple input multiple output）预测控制的集中式协调控制方案在不解耦、无前馈的情况下即可解决MIMO系统的强耦合、大迟延问题。首先给出了控制受限MIMO预测控制的算法，然后在MATLAB中仿真实现。仿真结果表明，集中式协调控制方案与传统PID控制方案在功率具有基本相同跟踪性能的情况下，主汽压力与中间点温度的跟踪性能更优、鲁棒性更强。

Centralized Coordination Control of Ultra-supercritical Unit Based on Control-Constrained MIMO Predictive Control

With the traditional control scheme the main steam pressure and the steam temperature of intermediate point cannot be regulated around the target settings when the load of the unit is changing, which will cause severe impacts on the security and efficiency of the unit operation. In this paper, the centralized coordination control scheme based on control-constrained MIMO (multiple input multiple output) predictive control is proposed to resolve the strong coupling and large time delay problems in the MIMO system without extra procedures of decoupling and feedforward. Firstly, the algorithm of control-constrained MIMO predictive control is explored and then prototyped using MATLAB. From the simulation results the centralized coordination control scheme demonstrated comparable tracking performance in power output to the traditional PID control scheme. Nevertheless it outperforms the latter scheme in the aspect of the tracking performance of the main steam pressure and the steam temperature of intermediate point as well as its robustness.