摘要
为克服渠池水位滞后于流量变化给系统调控带来的影响,建立了流量控制、水位约束的渠道运行优化调节系统。该系统基于预测控制理论进行设计,采用了H∞鲁棒闭环控制策略来抑制渠道中时时存在的有界随机扰动,并利用在线辨识技术实时监测明渠非恒定流,控制参数在渠道运行过程中动态调整以提高控制精度。为验证系统控制的稳定性,设计出2种方案对闸门调控过程进行仿真测试。在有分水情况下,所提出的算法能够紧密跟踪参考运行曲线;在有界持续扰动情况下,系统控制逻辑仍然能稳定运行。仿真计算结果表明:加入鲁棒控制环节的预测算法能较好地跟踪用水变化,还能兼顾渠道的稳定控制要求。
The canal operation was formulated as an optimal control problem to regulate the gate discharges with the water level error as constraints,with consideration of the time delay for water level and flow variations.The control scheme was derived using the predicative control theory with system identification concepts to optimize the water transfer processes.A dynamic parameter adjustment mechanism was developed based on prior physical information to improve the model accuracy.The system stability was guaranteed using H∞ robust control strategy in a closed loop system for constant water level control of an in-line canal.The stability of operational control model is illustrated for two cases in terms of the response of pools to downstream withdrawal flow.The model closely tracks the reference water level to provide robust control for stochastic disturbances.The results show that the method combines both classical to maintain the distant for downstream water level while maintaining stability with central supervised control.
出处
《清华大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2010年第12期1915-1919,共5页
Journal of Tsinghua University(Science and Technology)
基金
国家“九七三”重点基础研究项目(2007CB714100)
关键词
串级明渠
预测控制
水力调节
H∞鲁棒控制
in-line canal
predicative control
water regulation process
H∞ robust control
