基于区域协调分析的约束内模控制方法与研究

Algorithm Based on Region Coordinated Analysis of Constrained Internal Model Control

针对多变量系统控制输入变量受到约束的严格限制时,一般工业上都是用预测控制来显式的处理这些约束条件和变量之间的关联耦合作用,而用内模控制来解决这方面的问题还处在探索中这一现状,初步性地利用内模控制的思想,用静态优先级来协调变量之间的耦合关联,并结合模型预测理论知识,利用区域分析法判断,使控制量处在约束范围内。仿真结果表明这种设计方法对控制效果具有一定的可实现性和意义。

In order to solve the problem of input constraints in muhivariable system, the algorithm of predictive control is adopted generally in industry ,which can explicitly deal with constraints and the couple effect among variables in multivariable system, and the use of Internal Model Control （IMC） to solve the problem is still in the exploration. An algorithm based on the structure of internal model control was preliminarily proposed. The algorithm took advan- tage of the static priority to coordinate the couple effect among variables, and used the regional analysis combined with Model Predict Control （MPC） to make control variables in the constraint condition. The simulation results verify this effectiveness and significance of the proposed algorithm.