作者: Kazuhiro Yubai , Akitaka Mizutani , Junji Hirai
DOI: 10.5772/16979
关键词: Control theory 、 Coprime factorization 、 Perturbation (astronomy) 、 Model free 、 Controller design 、 Control synthesis 、 Control system 、 Mathematics 、 Internal model 、 Feedback control
摘要: In the design of control system, plant perturbations and uncertainties could cause performance degradation and/or destabilization system. The H∞ synthesis μ are well known as suitable controller syntheses for with large (Zhou & Doyle, 1998), many successful applications also reported in various fields. However, these provide robustly stabilizing closed-loop system worst-case overestimated disturbances at expense nominal performance. It means that there exists a trade-off between robustness Meanwhile from view point architecture, Generalized Internal Model Control (GIMC) structure is proposed by Zhou using Youla parameterization (Vidyasagar, 1985) to resolve above-mentioned (Campos-Delgado Zhou, 2003; Ren, 2001). GIMC interpreted an extension (IMC) (Morari Zafiriou, 1997), which only applicable stable plants, unstable plants introducing coprime factorization. consists conditional feedback outer-loop controller. can detect model any disturbances, they compensated through parameter. specified On other hand, case where exist no would nothing, systemwould be governed Since independent parameter, designed according techniques, resolved. For we method dual parameter represents perturbation (Matsumoto et al., 1993; Yubai 2007). procedure follows: identified Hansen scheme (Hansen 1989) appropriate identification based on robust A Model-Free Design Parameter Structure Stability Constraint 17