Multivariable Model Predictive Control of Water Levels on a Laboratory Canal
Multivariable Model Predictive Control of Water Levels on a Laboratory Canal
复制标题
DOI：
10.1007/978-981-4451-42-0_7
复制
发表时间：
2014
期刊：
影响因子：
--
通讯作者：
K. Horváth;P. Overloop;Eduard Galvis;Manuel Gómez;J. Rodellar
中科院分区：
文献类型：
--
作者：
K. Horváth;P. Overloop;Eduard Galvis;Manuel Gómez;J. Rodellar
灌溉渠的自动控制可以大大减少水的流失；因此，它产生了生态效益和经济效益。目前已经开发出了许多不同类型的自动控制器，但由于延迟时间长和中断灌溉操作的不便，只有少数有机会在现场进行测试。因此，为大型灌渠开发的自动控制器应先通过数值模拟和/或实验室试验进行测试。加泰罗尼亚技术大学拥有一条长220米的实验室灌溉渠，有3个电动闸门和11个连接到SCADA系统的液位传感器。该设备可以测试任何类型的控制器，因为所有的仪器和实时操作都在MATLAB-Simulink中灵活的工作环境中运行。运河可以配置从一个池到三个池，这允许多变量控制的发展。采用一维水动力模型SIC建立了运河的数值模型。在这个软件的帮助下，可以模拟运河的水力学，由于SIC和MATLAB之间的联系，也可以测试以前在MATLAB环境中开发的任何控制器。本文提出了一种集中式多变量模型水位预测控制器，并通过数值仿真进行了验证。
Automatic control of irrigation canals can reduce the loss of water in considerable amounts; therefore, it is generating ecologic and economic benefits. There have been developed many different types of automatic controllers, but only a few of them had the opportunity of being tested on the field due to the long delay time and the inconveniences of interrupting the operation of the irrigation. Therefore, the automatic controllers developed for large irrigation canals should be tested before by means of numerical simulations and/or laboratory experiments. The Technical University of Catalonia possesses a laboratory irrigation canal with the length of 220 m, with 3 motorized gates and 11 level sensors that are connected to a SCADA system. This facility makes it possible to test controllers of any type, since all the instrumentation and real-time operation run within a flexible working environment running in MATLAB–Simulink. The canal can be configured from one pool to three pools, which allows the development of multivariable control. A numerical model of the canal has been developed using the 1D hydrodynamic model SIC. With the help of this software, it is possible to simulate the hydraulics of the canal and, due to the link between SIC and MATLAB, also to test any controller developed previously in the MATLAB environment. In this work, a centralized multivariable model predictive controller for water levels has been developed and validated by means of numerical simulation.