摘要
为了进一步满足复杂工业控制的要求,在大量约束多目标多自由度优化(CMMO)研究成果的基础上,提出了优先级柔性约束多目标多自由度优化模型,并设计模糊处理策略对其进行处理。采用新的模糊处理策略,不但可以保证系统柔性输出优先级顺序,而且能够最大程度地保证输出量在某种模糊满意度下的满意控制。最后给出算例仿真证明了模糊处理策略的有效性。
Constrained multi-objective multi-degree of freedom optimization （CMMO） is one of the most popular form used during the process of complex system optimization control design. To meet the demand of complex control, a new CMMO model with priority flexible constraints is developed, and the corresponding processing strategy based on fuzzy method is also presented. The processing strategy can not only guarantee to realize the outputs of the control system in priority order, but also make them in the optimal fuzzy satisfying degree. By some simulation results, the feasibility of the presented method is testified.
出处
《吉林大学学报（工学版）》
EI
CAS
CSCD
北大核心
2008年第1期188-192,共5页
Journal of Jilin University:Engineering and Technology Edition
基金
中国科学院自动化研究所项目
中国石油股份有限公司横向开发项目(CZ06E01)
关键词
自动控制技术
优先级
柔性约束
CMMO
模糊优化
处理策略
automatic control technology
priority
flexible constraint
CMMO
fuzzy optimization
processing strategy
