A GENETIC PROGRAMMING APPROACH OF WEIGHT CHOOSING IN H∞ LOOP SHAPING AND ITS APPLICATION TO UNIT
The main problem that how to choose weights in H∞ loopshaping design procedure is studied deeply in this paper. A method for synthetically designing the structure and parameters of weight using genetic programming is put forward. Additionally, the incorporation of a multi-objective approach has enabled the synchronous consideration of different objectives related to robust performance, time and frequency domain index, and order of controller. Therefore,weights can be achieved to optimize controller. This makes controller design in H∞ loop shaping intelligentized and systematized. Finally, effectiveness of this method is demonstrated through controller design of 660MW unit.
Genetic Programming multi-objective optimization weight H∞ loop shaping
YU-YAN LIU YAN-QUAN LIU LIANG TIAN
Department of Automation, North China Electric Power University, Beijing, 102206, China Department of Automation, North China Electric Power University, Baoding, 071003, China
国际会议
2006 International Conference on Machine Learning and Cybernetics(IEEE第五届机器学习与控制论坛)
大连
英文
2339-2344
2006-08-13（万方平台首次上网日期，不代表论文的发表时间）