过热汽温系统的Smith预估器参数多目标优化控制*

文中详细分析Smith预估模型参数对控制系统性能的影响，提出一种Smith预估模型参数多目标优化整定的控制方案，利用模型失配有效改善控制系统的性能.针对火电厂过热汽温系统高阶、大惯性及非线性特点，设计一种基于串级PID的Smith预估器参数多目标自调整优化控制系统.对某600MW超临界火电机组过热汽温系统进行仿真控制，结果表明，该方案具有良好的鲁棒性，可有效克服系统的非线性，控制效果明显优于常规的串级PID控制和参数匹配的Smith预估控制系统.

Multi-objective Optimization Control of Smith-Predictor Parameters in Superheated Steam Temperature System

The impact of Smith-predictor parameters on the control system performance is analyzed detailedly, and a multi-objective optimization control scheme of Smith-predictor parameters is proposed. The performance of the control system is improved by the model mismatch. Due to high order,large inertia and strong nonlinearity of the superheated steam temperature plant, a Smith-predictor parameter multi-objective self-tuning optimization control system is designed based on cascade PID. The control scheme is applied to a 600MW supercritical boiler superheated steam temperature control. The simulation results show that the proposed approach has a good robustness and can effectively overcome the long dead time and nonlinearity of the system, and it has much better performance compared with cascade PID and normal Smith predictor.