摘要
针对气-液柱状旋流式(GLCC)多相流量计的液位控制问题,提出一种增量多变量模型预测控制(MPC)算法。采用控制增量状态空间模型和阶梯式控制策略,建立约束多变量MPC优化控制问题。为在线计算约束优化问题,引入坐标轮换法和黄金分割法,在线计算控制变量增量值,进而得到预测控制量。最后,以GLCC多相流量计的两输入单输出液位控制模型为例,仿真验证本文算法的有效性。
For liquid-level control problem of gas-liquid cylindrical cyclone （GLCC） multi-phase flow device, an incremental multi-variables model predictive control （MPC） algorithm was proposed. By using state-space models with incremental control and the stair-like strategy, constrained multi-variables MPC was formulated as an optimized control problem. In order to solve the constrained optimization problem, the methods of coordinate alternation and golden section were introduced to calculate online the value of incremental control variables. This led to predictive control actions. Finally, the liquid-level control model with double-inputs and single-output of the GLCC multi-phase flow device was used to illustrate the effectiveness of the algorithm obtained.
出处
《化工学报》
EI
CAS
CSCD
北大核心
2013年第3期993-999,共7页
CIESC Journal
基金
国家自然科学基金项目(60904040)
高等学校博士点专项科研基金项目(20093317120002)
浙江省重大科技专项(2011C16040)~~
关键词
模型预测控制
约束控制
GLCC多相流量计
液位控制
坐标轮换法
model predictive control
constrained control
GLCC multi-phase flow device
liquid-level control
coordinate alternation method
