標題: Designing structure-specified mixed H-2/H-infinity optimal controllers using an intelligent genetic algorithm IGA
作者: Ho, SJ
Ho, SY
Hung, MH
Shu, LS
Huang, HL
生物科技學系
生物資訊及系統生物研究所
Department of Biological Science and Technology
Institude of Bioinformatics and Systems Biology
關鍵字: intelligent genetic algorithm (IGA);mixed H-2/H-infinity optimal control;orthogonal experimental design (OED)
公開日期: 1-Nov-2005
摘要: This brief proposes an efficient method for designing accurate structure-specified mixed H-2/H-infinity optimal controllers for systems with uncertainties and disturbance using an intelligent genetic algorithm (IGA). The newly-developed IGA with intelligent crossover based on orthogonal experimental design (OED) is efficient for solving intractable engineering problems with lots of design parameters. The IGA-based method without using prior domain knowledge can efficiently solve design problems of multi-input-multi-output (MIMO) optimal control systems, which is very suitable for practical engineering designs. High performance and validity of the proposed method are evaluated by two test problems, a MIMO distillation column model and a MIMO super maneuverable F18/HARV fighter aircraft system. It is shown empirically that the IGA-based method has good tracking performance, robust stability and disturbance attenuation for both controllers, compared with the existing methods.
URI: http://dx.doi.org/10.1109/TCST.2005.857403
http://hdl.handle.net/11536/13131
ISSN: 1063-6536
DOI: 10.1109/TCST.2005.857403
期刊: IEEE TRANSACTIONS ON CONTROL SYSTEMS TECHNOLOGY
Volume: 13
Issue: 6
起始頁: 1119
結束頁: 1124
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