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上海电力大学学报:2019,35(2):164-170
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复杂双容水箱系统的递阶预测控制优化算法
(上海电力学院 自动化工程学院, 上海 200090)
Hierarchical Predictive Control Optimization Algorithm for Complex Dual-tank System
(School of Automation Engineering, Shanghai University of Electric Power, Shanghai 200090, China)
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投稿时间:2018-09-10    
中文摘要: 针对复杂双容水箱系统,以控制两个下水箱液位跟踪设定值为设计目标。为实现良好的水箱液位控制效果,首先构造液位控制的无穷时域性能指标,建立了复杂双容水箱无穷时域性能优化问题的数学描述;随后将基于时间分解协调的递阶优化和预测控制的滚动优化思想引入水箱液位控制,将优化时域较长所引起的大规模参数优化问题分解为各时间点上独立的小规模参数优化问题,从而得出显式优化解,取得较优的水箱液位控制效果。
Abstract:The design objective of the complex dual-tank system is to track the set-value of liquid level of the two sewer tanks. In order to achieve good performance of liquid level control, infinite horizon performance index of liquid level control is constructed, and mathematical description of infinite time performance optimization problem of complex dual-tank is established. Then, based on decomposition and coordination of time, the hierarchical optimization and rolling optimization idea of predictive control are introduced into the control problem of water tank. The large-scale parameter optimization problem caused by longer optimization horizon is decomposed into independent small-scale parameter optimization problem at each time point, and the explicit optimization solution is obtained, which achieves better performance of tank liquid level control.
文章编号:20192013     中图分类号:TP273    文献标志码:
基金项目:国家自然科学基金(61573239);上海市自然科学基金(15ZR1418600);系统控制与信息处理教育部重点实验室开放课题(SCIP201509)。
引用文本:
孙忠林,郑鹏远.复杂双容水箱系统的递阶预测控制优化算法[J].上海电力大学学报,2019,35(2):164-170.
SUN Zhonglin,ZHENG Pengyuan.Hierarchical Predictive Control Optimization Algorithm for Complex Dual-tank System[J].Journal of Shanghai University of Electric Power,2019,35(2):164-170.