摘要
根据满意控制中实时规划的要求，利用内点和积极约束集条件，提出了一种新的优化算法．该算法使用等式约束二次规划变更指标沿积极约束边界搜索，可在计算中任何时候得到可行解，并较快得到最优解．利用该算法对乙醇分离过程进行了满意控制系统仿真，结果表明，该算法行之有效。
According to the need of programming in satisfying control, a new method of optimization by using conditions of inner point and active set of constraints was proposed. This method searched along the edge of active constraints in quadratic programming, which would obtain available solution anytime in calculation and get the optimal solution more quickly. The results of the simulation of the control system in ethanol fractionation process indicate that the method of optimization is excellent and easy to apply in engineering.
出处
《上海交通大学学报》
EI
CAS
CSCD
北大核心
1999年第4期431-434,共4页
Journal of Shanghai Jiaotong University
基金
国家自然科学基金
国家教委基金
上海市科委资助
关键词
满意控制
最优化算法
CMMO
预测控制
多目标优化
constrained multi objective multi freedom optimization
constraints
satisfying control
optimization algorithms
