多变量混合预测算法在单元机组协调控制中的应用

提出了一种新颖的具有预测误差校正的多变量广义预测控制 (GPC)与动态矩阵控制 (DMC)混合集中优化控制算法。该算法直接对被控对象的整体模型性能指标进行优化 ,可获得最全面的反映过程未来变化趋势的动态信息量 ,以实现整个系统的最优控制。同时考虑了所有输入输出之间的交互影响 ,合理考虑各控制输入输出量在算法中的地位 ,避免常规多变量控制系统设计中因解耦而造成的不可实现性和解耦网络对系统模型的过分依赖性 ,且易于实施 ,对模型的变化有较强的鲁棒性。通过对 30 0MW单元机组协调控制系统进行仿真 ,结果表明 ,该算法具有控制性能好、鲁棒性强等优点

Mixed Control Algorithm Design and Its Application to the Coordinated Control System in 300MW Unit Based on Multivariable GPC and DMC

In this paper, a novel multivariable GPC and DMC mixed centralized optimization control algorithm with predictive error correcting is presented. According to this algorithm, prediction based on model is complemented by error prediction, so this prediction method is a kind of comprehensive prediction. In this algorithm, all control input and output variables are treated reasonably when considering the coupled effects so that the algorithm is realized easily and can improve the system robustness. By the simulation test of application to the coordinated control system in 300MW unit, the results show that the algorithm proposed in this paper has better control performances and stronger robustness.