【摘要】 动态矩阵控制(DMC)算法的计算时间较长,无法满足热工控制的实时性和性能要求。为此,本文提出一种多种采样周期的改进DMC算法,在模型预测和反馈校正环节采用较小采样周期,在滚动优化环节采用较长采样周期,使预测时域和控制时域减小,降低优化矩阵维数,从而使计算时间大幅减少。将改进的DMC算法用于某选择性催化还原(SCR)脱硝控制系统,采用MATLAB软件对模型匹配、控制量有约束和模型失配3种情况进行仿真研究。仿真结果表明,改进的DMC算法具有良好的响应特性,可以快速克服扰动影响,在模型失配时鲁棒性较好,适用于电厂热工对象的先进控制。更多还原

【Abstract】 The dynamic matrix control(DMC) algorithm has long computation time and can not meet the real-time and control performance requirements of thermal control. To solve this problem, an improved DMC algorithm based on multi-rate sampling is proposed, which uses a smaller sampling period in model prediction and feedback correction, and a longer sampling period in rolling optimization. This reduces the prediction and control time domain, reduces the dimension of optimization matrix and greatly reduces the calculation time.Moreover, the improved DMC algorithm is applied to SCR denitration control of a power plant. In MATLAB environment, simulation studies are carried out under three conditions: model matching, control constraints and model mismatch. The simulation results show that, the algorithm has good response characteristics, can quickly overcome the disturbance effects, and has good robustness when the model mismatch occurs. It is suitable for advanced control of power plants’ thermal objects.更多还原