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基于改进的欧拉法,改进了蒸发过程离散时滞动态模型,构建了在线非线性预测控制模型.针对时滞系统小采样周期与长预测控制域带来的计算负担,提出了快速粒子群算法的求解方法,保证控制实时性.实例模拟表明,在采样时间足够小时仍能保证实时性,液位和浓度很快达到设定范围,新蒸汽消耗量下降1%,可节约蒸汽0.6 t/h.
Based on the improved Euler method, the discrete time-delay dynamic model of evaporation process is improved and an on-line nonlinear predictive control model is built. For the small sampling period and the long computational burden of the long-term predictive control domain, a fast particle swarm optimization The simulation results show that the sampling time is small enough to ensure real-time performance, the liquid level and concentration reach the setting range quickly, the new steam consumption is reduced by 1%, steam consumption can be reduced by 0.6 t / h .