论文部分内容阅读
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。
In order to overcome the influence of channel water level lagging behind the flow change on system regulation and control, a channel operation optimization and regulation system with flow control and water level restriction was established. The system is designed based on predictive control theory. The H∞ robust closed-loop control strategy is used to restrain the bounded stochastic disturbances in the channel from time to time. The on-line identification technology is used to monitor the open channel unsteady flow in real time. The control parameters are dynamic during the operation of the channel Adjust to improve control accuracy. In order to verify the stability of the system control, two schemes were designed to simulate the process of gate regulation. The proposed algorithm can closely track the reference operating curve under the condition of water diversion, and the system control logic can still operate stably under bounded continuous disturbance. The simulation results show that the prediction algorithm of robust control can better track the change of water use and take into account the requirements of stable control of channels.