摘要
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.
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.
出处
《模式识别与人工智能》
EI
CSCD
北大核心
2015年第3期282-288,共7页
Pattern Recognition and Artificial Intelligence
基金
国家自然科学基金项目(No.61203107)
中央高校专项资金项目(No.13MS102)
国家科技支撑计划课题项目(No.2012BAA12B06)
新能源电力系统国家重点实验室课题项目资助
关键词
SMITH预估器
多目标参数优化
参数不匹配调整
过热汽温
Smith Predictor, Multi-objective Optimization, Parameters Mismatch Tuning, Superheated Steam Temperature
