带有优先级的分层满意优化控制算法研究

Application of Varying-Domain Optimization Method in Satisfactory Control

满意控制作为预测控制的实用发展,是基于模型在线实现有约束多目标多自由度优化(CMMO),并由操作者参与决策的一种实用控制方法。针对有约束多目标多自由度优化中输出变量逼进期望值时存在的优先级结构,将一般的用二次规划表示的满意优化控制问题转化为一个分两层进行的直接优先级优化的满意优化控制问题,使用宽容分层优化方法进行分层,使用变可行域优化方法进行每层的优化,最终决策者得到满意解。

As a practical development of predictive control, satisfactory control bases on the model of plants to realize constrained multi- objective multi- degree- of- freedom optimization （CMMO） on- line, and at the same time, the operator is involved in the decision- making process. With the priority structure given by the decision- maker in the constrained multi - objective multi - degree- of - freedom optimization problem, the commonly used quadratic programming rachel is converted into a two - level optimization problem solved by the tolerant lexicographic method and the varying - domain optimization method. In this way, the operator can get the satisfying solution.